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James Hollway edited this page Jul 2, 2020 · 4 revisions

Next to the illustrations in the methodological articles, applications of Siena can be found in the following articles.

Articles about dynamics of networks (see below for dynamics of multivariate networks).

Tutorial / review articles

  • David N. Fisher, Amiyaal Ilany, Matthew J. Silk and Tom Tregenza (2017). Analysing animal social network dynamics: the potential of stochastic actor-oriented models. Journal of Animal Ecology, 86, 202-212. DOI: http://dx.doi.org/10.1111/1365-2656.12630.
  • Angela K. Henneberger, Dawnsha R. Mushonga and Alison M. Preston (2020). Peer influence and adolescent substance use: A systematic review of dynamic social network research. Adolescent Research Review DOI: https://doi.org/10.1007/s40894-019-00130-0
  • Tom A.B. Snijders, Gerhard G. van de Bunt, and Christian E.G. Steglich (2010). Introduction to actor-based models for network dynamics. Social Networks, 32, 44-60. DOI: http://dx.doi.org/10.1016/j.socnet.2009.02.004
  • Ralf Wölfer, Nadira S. Faber, and Miles Hewstone (2015). Social network analysis in the science of groups: Cross-sectional and longitudinal applications for studying intra-and intergroup behavior. Group Dynamics: Theory, Research, and Practice, 19, 45-61. DOI: http://dx.doi.org/10.1037/gdn0000021

Research articles

  • Filip Agneessens and Rafael Wittek, (2012), Where do intra-organizational advice relations come from? The role of informal status and social capital in social exchange. Social Networks, 34, 333-345. DOI: http://dx.doi.org/10.1016/j.socnet.2011.04.002.
  • Weihua An (2015). Multilevel meta network analysis with application to studying network dynamics of network interventions. Social Networks, 43, 48-56. DOI: http://dx.doi.org/10.1016/j.socnet.2015.03.006.
  • Andrew, Simon, Institutional Ties, Interlocal Contractual Arrangements, and the Dynamic of Metropolitan Governance. PhD thesis, Florida State University (2006).
  • Andrew, Simon, Regional integration through contracting networks. An empirical analysis of institutional collection action framework. Urban Affairs Review 44 (2009), 378-402.
  • Brian Aronson (2016). Peer influence as a potential magnifier of ADHD diagnosis. Social Science and Medicine, 168, 111-119. DOI: http://dx.doi.org/10.1016/j.socscimed.2016.09.010
  • Gilda Antonelli and Raffaele Corrado (2014). Effects of social networks managing on working career. European Scientific Journal, February 2014, Special edition vol.1.
  • Amirhosein 'Emerson' Azarbakht (2017). Longitudinal Analysis of Collaboration in Forked Open Source Software Development Projects. PhD dissertation, Oregon State University.
  • https://ir.library.oregonstate.edu/downloads/n870zw357
  • Chris Baerveldt, Gerhard G. van de Bunt, Ainhoa de Federico (2010). Why and how selection patterns in classroom networks differ between students. The potential influence of networks size preferences, level of information, and group membership. REDES Vol. 19, p. 272-300.
  • This is not an empirical application, but a theoretical study relevant to model selection.
  • Also available in Spanish; see below.
  • Chris Baerveldt, Gerhard G. van de Bunt, and Marjolijn M. Vermande (2014). Selection patterns, gender and friendship aim in classroom networks. Zeitschrift für Erziehungswissenschaft 17.5, 171-188. DOI: http://dx.doi.org/10.1007/s11618-014-0546-x.
  • Pierre-Alexandre Balland (2012). Proximity and the Evolution of Collaboration Networks: Evidence from Research and Development Projects within the Global Navigation Satellite System (GNSS) Industry. Regional Studies, 46, 741-756. DOI: http://dx.doi.org/10.1080/00343404.2010.529121.
  • Pierre-Alexandre Balland, José Antonio Belso-Martínez and Andrea Morrison (2015). The dynamics of technical and business knowledge networks in industrial clusters: embeddedness, status or proximity? Economic Geography, 92, 35-60. DOI: http://dx.doi.org/10.1080/00130095.2015.1094370.
  • Pierre-Alexandre Balland, Mathijs De Vaan, and Ron Boschma (2013). The dynamics of interfirm networks along the industry life cycle: The case of the global video game industry, 1987-2007. Journal of Economic Geography 13, 741-765. DOI: http://dx.doi.org/0.1093/jeg/lbs023.
  • Ramiro Berardo (2014). The evolution of self-organizing communication networks in high-risk social-ecological systems. International Journal of the Commons, [S.l.], feb. 2014. ISSN 1875-0281. Available at: http://www.thecommonsjournal.org/index.php/ijc/article/view/463/382.
  • Ramiro Berardo (2016). The Evolution of the Complex Governance of Common-Pool Resources in the Presence of Environmental Focusing Events. http://www.ramiroberardo.net/uploads/6/0/5/3/60538339/paperberardo.pdf
  • Kimberly D. Bess (2015). Reframing Coalitions as Systems Interventions: A Network Study Exploring the Contribution of a Youth Violence Prevention Coalition to Broader System Capacity. American Journal of Community Psychology, 55, 381-395. DOI: http://dx.doi.org/10.1007/s10464-015-9715-1.
  • Prasanta Bhattacharya, Tuan Phan, and Edoardo Airoldi (2015). Investigating the Impact of Network Effects on Content Generation: Evidence from a Large Online Student Network.
  • http://arxiv.org/ftp/arxiv/papers/1512/1512.06469.pdf
  • Federico Bianchi (2016). The Social from the Economic: The Emergence of Solidarity within Networks of Economic Exchange. PhD dissertation, Programme in Economic Sociology and Labour Studies (ESLS), Università degli Studi di Brescia, Università degli Studi di Milano, and Università degli Studi del Piemonte Orientale "Amedeo Avogadro".
  • https://air.unimi.it/retrieve/handle/2434/491473/823690/phd_unimi_R10613.pdf
  • Gisela Bichler and Juan Franquez (2014). Conflict Cessation and the Emergence of Weapons Supermarkets. In Anthony J. Masys (ed.), Networks and Network Analysis for Defence and Security, p. 189-215.
  • Per Block (2015). Reciprocity, transitivity, and the mysterious three-cycle. Social Networks, 40, 163-173. DOI: http://dx.doi.org/doi:10.1016/j.socnet.2014.10.005
  • Per Block (2018). Network Evolution and Social Situations. Sociological Science , 45, 402-431. DOI: http://dx.doi.org/doi:10.15195/v5.a18
  • Per Block and Thomas Grund (2014). Multidimensional homophily in friendship networks. Network Science, 2, 189-212. DOI: http://dx.doi.org/10.1017/nws.2014.17
  • Per Block, Lauren C. Heathcote and Stephanie Burnett Heyes (2018). Social interaction and pain: An arctic expedition. Social Science and Medicine, 196, 47-55. DOI: https://doi.org/10.1016/j.socscimed.2017.10.028
  • Zs&?oacute;fia Boda, Timon Elmer, Andr&?aacute;s V&?ouml;r&?ouml;s and Christoph Stadtfeld (2020). Short-term and long-term effects of a social network intervention on friendships among university students. Scientific Reports, 10. DOI: https://doi.org/10.1038/s41598-020-59594-z
  • Christèle Borgeaud, Sebastian Sosa, Cédric Sueur, Redouan Bshary, and Erica van de Waal (2016). Intergroup Variation of Social Relationships in Wild Vervet Monkeys: A Dynamic Network Approach. Frontiers in Psychology, 7, 915. DOI: http://dx.doi.org/10.3389/fpsyg.2016.00915
  • Smaranda Boros and Lore Van Gorp (2017). Networks in professional groups: a matter of connection or self-exile? Team Performance Management: An International Journal, 23, 318-332. DOI: https://doi.org/10.1108/TPM-10-2016-0044
  • Smaranda Boroş, Lore van Gorp and Michael Boiger (2019). When holding in prevents from reaching out: Emotion suppression and social support-seeking in multicultural groups. frontiers in Psychology, 10. DOI: https://doi.org/10.3389/fpsyg.2019.02431
  • Boschma, R., P.A. Balland and M. De Vaan (2014). The formation of economic networks: A proximity approach. In: A. Torre and F. Wallet (eds.) Regional development and proximity relations. Cheltenham: Edward Elgar.
  • Boschma, Ron, Pierre-Alexandre Balland, and Dieter Kogler (2015). The geography of inter-firm knowledge spillovers in bio-tech. P. 147-169 in The Economics of Knowledge, Innovation and Systemic Technology Policy , Edited by Francesco Crespi and Francesco Quatraro.
  • Bossaert, Goele, and Nadine Meidert (2013). 'We are only as strong as we are united, as weak as we are divided'. A dynamic analysis of the peer support networks in the Harry Potter books. Open Journal of Applied Sciences, Vol. 3 No. 2, pp. 174-185. DOI: http://dx.doi.org/10.4236/ojapps.2013.32024
  • Palmyre H. Boucherie, Sebastian Sosa, Cristian Pasquaretta, and Valerie Dufour (2017). A longitudinal network analysis of social dynamics in rooks Corvus frugilegus: repeated group modifications do not affect social network in captive rooks. Current Zoology, 63, 379-388. DOI: http://dx.doi.org/10.1093/cz/zow083
  • David Bright, Johan Koskinen and Aili Malm (2018). Illicit Network Dynamics: The Formation and Evolution of a Drug Traficking Network. Journal of Quantitative Criminology, 1-22. DOI: https://doi.org/10.1007/s10940-018-9379-8
  • Katherine W. Bromley (2019). Friendship tie formation among youth with and without disabilities in high school: A social network analysis. Doctoral dissertation
  • Jasperina Brouwer, Andreas Flache, Ellen Jansen, Adriaan Hofman and Christian Steglich (2018). Emergent achievement segregation in freshmen learning community networks. Higher Education, 76, 483-500. DOI: https://doi.org/10.1007/s10734-017-0221-2
  • Tobias Buchmann and Andreas Pyka (2013). The evolution of innovation networks: the case of a German automotive network. Discussion Paper 70-2013, Forschungszentrum Universität Hohenheim. DOI: https://www.econstor.eu/dspace/bitstream/10419/71188/1/738555983.pdf
  • Tobias Buchmann, Daniel Hain, Muhamed Kudic and Matthias Muller (2014). Exploring the evolution of innovation networks in science-driven and scale-intensive industries - New evidence from a stochastic actor-based approach. IWH Discussion Papers, 1-42.
  • https://www.econstor.eu/bitstream/10419/90173/1/776115766.pdf
  • Alicia C. Bunger, Nathan J. Doogan, and Yiwen Cao (2014). Building service delivery networks: Partnership evolution among children's behavioral health agencies in response to new funding. Journal of the Society for Social Work and Research 5, 513-538.
  • Paul Burton (2018). Material realism: A systems theory of international politics. Doctoral Dissertation, The University of Southern Mississippi.
  • https://aquila.usm.edu/cgi/viewcontent.cgi?article=2547&context=dissertations
  • Gianluca Carnabuci, Cécile Emery and David Brinberg (2018). Emergent Leadership Structures in Informal Groups: A Dynamic, Cognitively Informed Network Model. Organization Science, 29(1), 118-133. DOI: https://doi.org/10.1287/orsc.2017.1171
  • Ignacio Castro, Cristóbal Casanueva, and José Luis Galán (2014). Dynamic evolution of alliance portfolios. European Management Journal, 32, 423-433. DOI: http://dx.doi.org/10.1016/j.emj.2013.06.006
  • Ovidiu C. Cocieru, Matthew Katz and Mark McDonald (2019). Understanding interactions in a classroom-as-organization using dynamic network analysis. Journal of Experiental Education DOI: https://doi.org/10.1177/1053825919888778
  • J. Benjamin Cook, Philip Schwadel, and Jacob E. Cheadle (2017). The Origins of Religious Homophily in a Medium and Large School. Review of Religious Research , 59, 65-80. DOI: http://dx.doi.org/10.1007/s13644-016-0266-1
  • Jacob E. Cheadle and Philip Schwadel (2012). The 'friendship dynamics of religion,' or the 'religious dynamics of friendship'? A social network analysis of adolescents who attend small schools. Social Science Research, 41, 1198-1212. DOI: http://dx.doi.org/10.1016/j.ssresearch.2012.03.014
  • Jacob E. Cheadle, Michael Stevens, Deadric T. Williams, and Bridget J. Goosby (2013). The differential contributions of teen drinking homophily to new and existing friendships: An empirical assessment of assortative and proximity selection mechanisms. Social Science Research, 42, 1297-1310. DOI: http://dx.doi.org/10.1016/j.ssresearch.2013.05.001
  • Jacob E. Cheadle, Katrina M. Walsemann, and Bridget J. Goosby (2015). DOI: Teen Alcohol Use and Social Networks: The Contributions of Friend Influence and Friendship Selection. Journal of Alcoholism and Drug Dependence, 3:224. 3:5. DOI: http://dx.doi.org/10.4172/2329-6488.1000224
  • Jacob E. Cheadle and Deadric Williams (2013). The role of drinking in new and existing friendships across high school settings. Health, 5, 18-25. DOI: http://dx.doi.org/10.4236/health.2013.56A3004
  • Checkley, Matthew, and Steglich, Christian E.G. (2007). Partners in power: Job mobility and dynamic deal-making. European Management Review Vol.4 (2007), 161-171.
  • Dimitris Christopoulos and Karin Ingold (2014). Exceptional or just well connected? Political entrepreneurs and brokers in policy making. European Political Science Review, forthcoming. DOI: http://dx.doi.org/10.1017/S1755773914000277
  • Noshir S. Contractor , Robert C. Whitbred , Fabio Fonti, and Christian Steglich (2012). Understanding the Ties that Bind: A Longitudinal Investigation of the Evolution of a Communication Network. Western Journal of Communication, 76:4, 333-357. DOI: http://dx.doi.org/10.1080/10570314.2012.674172
  • Leonardo Corbo, Raffaele Corrado, and Simone Ferriani (2016). A New Order of Things: Network Mechanisms of Field Evolution in the Aftermath of an Exogenous Shock. Forthcoming, Organization Studies.
  • Germán G. Creamer and Bernardo Creamer (2018). Emissions abating technology adoption in a coal trading network. Social Network Analysis and Mining, 8:21. DOI: https://doi.org/10.1007/s13278-018-0498-x
  • Daniel Cunningham, Sean F. Everton, and Philip J. Murphy (2015). Casting More Light on Dark Networks: A Stochastic Actor-Oriented Longitudinal Analysis of the Noordin Top Terrorist Network. Pp. 171-185 in Illuminating Dark Networks: The Study of Clandestine Groups and Organizations, edited by L. M. Gerdes. Cambridge and New York: Cambridge University Press.
  • Joselle Dagnes (2014). Struttura e dinamica dei legami inter-organizzativi nel capitalismo finanziario italiano. Stato e mercato, 2/2014. DOI: 10.1425/77412.
  • Duy Dang-Pham, Karlheinz Kautz, Siddhi Pittayachawan and Vince Bruno (2017). Understanding the Formation of Information Security Climate Perceptions: A Longitudinal Social Network Analysis. Australasian Conference on Information Systems, 2017. https://www.acis2017.org/wp-content/uploads/2017/11/ACIS2017_paper_80_FULL.pdf
  • Dawn DeLay, Thao Ha, Mark Van Ryzin, Charlotte Winter, and Thomas J. Dishion (2016). Changing Friend Selection in Middle School: A Social Network Analysis of a Randomized Intervention Study Designed to Prevent Adolescent Problem Behavior. Prevention Science, 17, 285-294. DOI: http://dx.doi.org/10.1007/s11121-015-0605-4
  • Dawn DeLay, Linlin Zhang, Laura D. Hanish, Cindy F. Miller, Richard A. Fabes, Carol Lynn Martin, Karin P. Kochel, and Kimberly A. Updegraff (2017). Peer Influence on Academic Performance: A Social Network Analysis of Social-Emotional Intervention Effects. Prevention Science, 8, 903-913. DOI: http://dx.doi.org/10.1007/s11121-016-0678-8
  • de Nooy, Wouter, The dynamics of artistic prestige. Poetics, 30 (2002), 147-167.
  • Ellen Delvaux, Loes Meeussen, and Batja Mesquita (2015). Emotions are not always contagious: Longitudinal spreading of self-pride and group pride in homogeneous and status-differentiated groups. Cognition and Emotion, 30, 101-116. DOI: http://dx.doi.org/10.1080/02699931.2015.1018143
  • Bruce A. Desmarais and Skyler J. Cranmer (2012). Micro-Level Interpretation of Exponential Random Graph Models with Application to Estuary Networks. Policy Studies Journal 40, 402-434. DOI: http://dx.doi.org/10.1111/j.1541-0072.2012.00459.x.
  • Fausto Di Vincenzo (2018). Exploring the networking behaviors of hospital organizations. BMC Health Services Research, 18:334. DOI: https://doi.org/10.1186/s12913-018-3144-4
  • Fausto Di Vincenzo, Valentina Evangelista, and Francesca Masciarelli (2014). Social capital and proximity in regional network dynamics: A mixed-method approach. DRUID Society Conference 2014
  • link: http://druid8.sit.aau.dk/druid/acc_papers/n3711p67ff08t0dge5e7oqts0ftq.pdf
  • Jared Romeo Dmello (2019). Friends, foes, and unknowns: Investigating the dynamics of relationships between actors in ethnic conflicts.
  • Ph.D dissertation University of Massachusetts Lowell.
  • J.J. Ebbers and N.M. Wijnberg (2010). Disentangling the effects of reputation and network position on the evolution of alliance networks. Strategic Organization, 8 (3), 255-275. DOI: http://dx.doi.org/10.1177/1476127010381102
  • Achim Edelmann, Stephen Vaisey (2014). Cultural resources and cultural distinction in networks. Poetics, 46, 22-37. DOI: http://dx.doi.org/10.1016/j.poetic.2014.08.001
  • Lina Eklund and Sara Roman (2018). Digital Gaming and Young People's Friendships: A Mixed Methods Study of Time Use and Gaming in School. Computers in Human Behavior, 73, 284-289. DOI: https://doi.org/10.1177/1103308818754990
  • Julian C. Evans and Julie Morand-Ferron (2019). The importance of preferential associations and group cohesion: Constraint or optimality. Behavioral Ecology and Sociobiology, 73(8). DOI: https://doi.org/10.1007/s00265-019-2723-7.
  • Sean F. Everton (2016). Social Networks and Religious Violence. Review of Religious Research, 58, 191-217. DOI: http://dx.doi.org/10.1007/s13644-015-0240-3
  • Anuška Ferligoj, Luka Kronegger, Franc Mali, Tom A.B. Snijders, and Patrick Doreian (2015). Scientific collaboration dynamics in a national scientific system. Scientometrics, 104, 985-1012. DOI: http://dx.doi.org/10.1007/s11192-015-1585-7
  • S. Ferriani, F. Fonti, and R. Corrado (2013). The social and economic bases of network multiplexity: Exploring the emergence of multiplex ties. Strategic Organization, 11, 7-34. DOI: http://dx.doi.org/10.1177/1476127012461576
  • Karl Finger and Thomas Lux (2017). Network formation in the interbank money market: An application of the actor-oriented model. Social Networks 48, 237-249. DOI: http://dx.doi.org/10.1016/j.socnet.2015.11.005
  • Manuel Fischer, Karin Ingold, Pascal Sciarini, and Frédéric Varone (2012). Impacts of market liberalization on regulatory network: a longitudinal analysis of the Swiss telecommunications sector. The Policy Studies Journal, 40, 435-457. DOI: http://dx.doi.org/10.1111/j.1541-0072.2012.00460.x
  • Jiawei S. Fu (2019). Unpacking the influence of informational, organizational, and structural factors on the longitudinal change of the NPO follower-followee network on Twitter. International journal of Communication, 13, 3802-3825.
  • Matteo Gagliolo, Tom Lenaerts, and Dirk Jacobs (2014). Politics Matters: Dynamics of Inter-organizational Networks among Immigrant Associations. In Pierluigi Contucci, Ronaldo Menezes, Andrea Omicini, and Julia Poncela-Casasnovas (eds.), Complex Networks V, p. 47-55. Springer: Studies in Computational Intelligence, vol. 549.
  • Ariana Garrote (2020). Academic achievement and social interactions: A longitudinal analysis of peer selection processes in inclusive elementary classrooms. Frontiers in Education, 5(4).
  • https://doi.org/10.3389/feduc.2020.00004
  • Elisa Giuliani (2013). Network dynamics in regional clusters: Evidence from Chile. Research Policy, 42, 1406-1419. DOI: http://dx.doi.org/10.1016/j.respol.2013.04.002
  • Sarah Louise Gordon (2018). Investigating the stability of peer friendships amongst preschool children: A longitudinal South African study. Master's Thesis, Stellenbosch University.
  • http://scholar.sun.ac.za/handle/10019.1/103423
  • Jennifer A. Hagala (2017). How far will you go when there is an embargo? A stochastic-actor oriented model of the effects of the arms embargos on illicit weapons trade. Electronic Theses, Projects, and Dissertations. 538. California State University, San Bernardino.
  • Daniel Hain, Thomas Buchmann, Muhamed Kudic and Matthias Müller (2018). Endogenous dynamics of innovation networks in the German automotive industry: analysing structural network evolution using a stochastic actor-oriented approach. International Journal of Computational Economics and Econometrics, 8(3-4), 325-344. DOI: https://doi.org/10.1504/IJCEE.2018.096392.
  • Claudius A. Hildebrand (2015). A Cognitive Compass for a Social World: The Effects of Lay Theories on Networking Engagement. Doctoral Dissertation. Columbia University Academic Commons, Columbia University, New York.
  • Elizabeth Humberstone (2018). Dynamics of social networks following adolescent pregnancy. Journal of Social Structure, 19.4. DOI: https://doi.org/10.21307/joss-2018-009
  • Amiyaal Ilany, Andrew S. Booms, and Kay E. Holekamp (2015). Topological effects of network structure on long-term social network dynamics in a wild mammal. Ecology Letters, 18, 687-695. DOI: http://dx.doi.org/10.1111/ele.12447
  • Karin Ingold and Manuel Fischer (2014). Drivers of collaboration to mitigate climate change: An illustration of Swiss climate policy over 15 years. Global Environmental Change, 24, 88-98. DOI: http://dx.doi.org/10.1016/j.gloenvcha.2013.11.021
  • Leonard A. Jason, John M. Light, Edward B. Stevens, and Kimberly Beers (2014). Dynamic social networks in recovery homes. American Journal of Community Psychology, 53, 324-334. DOI: http://dx.doi.org/10.1007/s10464-013-9610-6
  • J.C. Johnson, J.J. Luczkovich. S.P. Borgatti, and T.A.B. Snijders. Using social network analysis tools in ecology: Markov process transition models applied to the seasonal trophic network dynamics of the Chesapeake Bay. Ecological Modeling 220 (2009) 3133-3140. DOI: http://dx.doi.org/10.1016/j.ecolmodel.2009.06.037
  • Philipp Jugert, Lars Leszczensky and Sebastian Pink (2018). The Effects of Ethnic Minority Adolescents' Ethnic Self-Identification on Friendship Selection. Journal of Research on Adolescence, 28, 379-395. DOI: http://dx.doi.org/10.1111/jora.12337
  • Sándor Juhász and Balázs Lengyel (2017). Creation and persistence of ties in cluster knowledge networks. Journal of Economic Geography DOI: http://dx.doi.org/10.1093/jeg/lbx039
  • Kyujin Jung, Minsun Song and Hyung Jun Park (2018). The dynamics of an interorganizational emergency management network: Interdependent and independent risk hypotheses. Public Administration Review, in press. DOI: https://doi.org/10.1111/puar.12993
  • Roman Jurowetzki (2016). Exploring transition of large technological systems through relational data: A study of the Danish smart grid development. Ph.D dissertation Aalborg University, 1-281.
  • Daniel Karell and Michael Freedman (in press). Sociocultural mechanisms of conflict: Combining topic and stochastic actor-oriented models in an analysis of Afghanistan, 1979-2001. Poetics DOI: https://doi.org/10.1016/j.poetic.2019.101403
  • Shushant Khopkar (2017). Computational Advances In Data Analytics With Social Networks . PhD Dissertation, University at Buffalo, State University of New York.
  • Available from ProQuest Dissertations & Theses Global (1877970324).
  • Brandon J. Kinne (2013). Network Dynamics and the Evolution of International Cooperation. The American Political Science Review, 107, 766-785. DOI: http://dx.doi.org/10.1017/S0003055413000440
  • Brandon J. Kinne (2014) Dependent Diplomacy: Signaling, Strategy, and Prestige in the Diplomatic Network. International Studies Quarterly, 58, 247-259. DOI: http://dx.doi.org/10.1111/isqu.12047
  • Brandon J. Kinne (2016) Agreeing to arm: Bilateral weapons agreements and the global arms trade. Journal of Peace Research, 53, 359-377. DOI: http://dx.doi.org/10.1177/0022343316630037
  • Ko, P.-C., and Buskens, V. (2011). Dynamics of adolescent friendships: The interplay between structure and gender. Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011, pp. 313-320. DOI: http://dx.doi.org/10.1109/ASONAM.2011.30
  • Luka Kronegger, Franc Mali, Anuška Ferligoj and Patrick Doreian (2012). Collaboration structures in Slovenian scientific communities. Scientometrics, 90, 631-647. DOI: http://dx.doi.org/10.1007/s11192-011-0493-8.
  • Mathias Kuhnt and Olover A. Brust (2014). Low Reciprocity Rates in Acquaintance Networks of Young Adults - Fact or Artifact? Social Network Analysis and Mining, 4:167. Available at SSRN: http://dx.doi.org/10.2139/ssrn.2381466.
  • Lazega, E., Lemercier, C., and Mounier, L. (2006). A Spinning top model of formal organization and informal behavior: dynamics of advice networks among judges in a commercial court. European Management Review, 3, 113-122. DOI: http://dx.doi.org/10.1057/palgrave.emr.1500058.
  • Lazega, E., Mounier, L., Snijders, T.A.B., and Tubaro, P. (2012). Norms, status and the dynamics of advice networks: A case study. Social Networks, 34, 323-332. DOI: http://dx.doi.org/10.1016/j.socnet.2009.12.001.
  • Emmanuel Lazega, Saraï Sapulete, and Lise Mounier (2011). Structural stability regardless of membership turnover? The added value of blockmodelling in the analysis of network evolution. Quality and Quantity, 45, 129-144. DOI: http://dx.doi.org/10.1007/s11135-009-9295-y.
  • Seung Hwan (Mark) Lee, Gail Leizerovici, and Shuoyang Zhang (2015). The satisfaction and stress of being a market maven: A social network perspective. Journal of Consumer Behaviour, 14, 325-334. DOI: http://dx.doi.org/10.1002/cb.1523.
  • Seung Hwan (Mark) Lee, Israr Qureshi, Alison M. Konrad, and Arjun Bhardwaj (2013). Proactive personality heterophily and the moderating role of proactive personality on network centrality and psychological outcomes: a longitudinal study. Journal of Business and Psychology, 29, 381-395. DOI: http://dx.doi.org/10.1007/s10869-013-9320-y.
  • Todd C. Lehmann, James A. Rolfsen, and Terry D. Clark (2015). Predicting the trajectory of the evolving international cyber regime: Simulating the growth of a social network. Social Networks, 41, 72-84. DOI: http://dx.doi.org/10.1016/j.socnet.2015.01.002.
  • Claire Lemercier and Paul-André Rosental (2010). The Structure and Dynamics of Migration Patterns in 19th-century Northern France. http://halshs.archives-ouvertes.fr/halshs-00450035/fr/.
  • Kevin Lewis and Jason Kaufman (2018). The conversion of cultural tastes into social network ties. American Journal of Sociology, 6, 1684-1742. DOI: https://doi.org/10.1086/697525
  • Hai Liang (2013). Coevolution of Political Discussion and Common Ground in Web Discussion Forum. Social Science Computer Review, 32, 155-169. DOI: http://dx.doi.org/10.1177/0894439313506844.
  • Xinning Liang and Anita M. M. Liu (2018). The evolution of government sponsored collaboration network and its impact on innovation: A bibliometric analysis in the Chinese solar PV sector. Research Policy, 47(7), 1295-1308. DOI: https://doi.org/10.1016/j.respol.2018.04.012
  • John M. Light, Leonard A. Jason, Edward B. Stevens, Sarah Callahan, and Ariel Stone (2016). A mathematical framework for the complex system approach to group dynamics: The case of recovery house social integration. Group Dynamics: Theory, Research, and Practice, 20, 51-64. DOI: http://dx.doi.org/10.1037/gdn0000040
  • Tzu-Jung Lin, Richard C. Anderson, May Jadallah, Kim Nguyen-Jahiel, Il-Hee Kim, Li-Jen Kuo, Brian W. Miller, Handrea A. Logis, Ting Dong, Xiaoying Wu, and Yuan Li (2015). Social influences on children's development of relational thinking during small-group discussions. Contemporary Educational Psychology, 41, 83-97. DOI: http://dx.doi.org/10.1016/j.cedpsych.2014.12.004.
  • Wenlin Liu (2016). How Twitter Connects to the Information Sources Network over Time in the Occupy Wall Street Social Movement. Social Media Studies, 2, 111-121. DOI: http://dx.doi.org/10.15340/2147336622992
  • Xingjian Liu, Ben Derudder, Cándida Gago García (2013). Exploring the co-evolution of the geographies of air transport aviation and corporate networks. Journal of Transport Geography, 30, 26-36. DOI: http://dx.doi.org/10.1016/j.jtrangeo.2013.02.002
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  • Michelle Shumate (2012). The Evolution of the HIV/AIDS NGO Hyperlink Network. Journal of Computer-Mediated Communication 17, 120-134. DOI: http://dx.doi.org/10.1111/j.1083-6101.2011.01569.x
  • Cohen R. Simpson (2020). Farm size shapes friend choice amongst rice producers in China: Some evidence for the theory of network ecology. Social Networks, 61, 107-127. DOI: https://doi.org/10.1016/j.socnet.2019.10.001
  • Tanmay Sinha, Wenjun Wang, and Xuechen Lei (2015). Teasing Apart Behavioral Protocols in Longitudinal Self-reported Friendship Networks. Workshop on Networks in the Social and Information Sciences, NIPS 2015. Saturday December 12, 2015 in Montreal, Quebec, Canada.
  • Lenka Skanderova and Ivan Zelinka (2017). Differential Evolution Dynamics Modeled by Social Networks. Evolutionary Algorithms, Swarm Dynamics and Complex Networks, 67-100. DOI: https://doi.org/10.1007/978-3-662-55663-4_3
  • Mathias Smångs (2010). Delinquency, Social Skills and the Structure of Peer Relations: Assessing Criminological Theories by Social Network Theory. Social Forces 89, 609-632. DOI: http://dx.doi.org/10.1353/sof.2010.0069
  • Valentina Sokolovska, Aleksandar Tomašević, Bojana Dinić and Isidora Jarić (2017). Evolution of students' friendship networks: Examining the influence of group size. Issues in Ethnology and Anthropology, 11, 1135-1151. DOI: http://dx.doi.org/10.21301/eap.v11i4.10.
  • Christoph Stadtfeld and Alex (Sandy) Pentland (2015). Partnership Ties Shape Friendship Networks: A Dynamic Social Network Study. Social Forces 94, 453-477. DOI: http://dx.doi.org/10.1093/sf/sov079
  • Tobias H. Stark (2015). Understanding the Selection Bias: Social Network Processes and the Effect of Prejudice on the Avoidance of Outgroup Friends. Social Psychology Quarterly, 78, 127-150. DOI: http://dx.doi.org/10.1177/0190272514565252
  • Tobias H. Stark and Andreas Flache (2012). The Double Edge of Common Interest: Ethnic Segregation as an Unintended Byproduct of Opinion Homophily. Sociology of Education, 85, 179-199. DOI: http://dx.doi.org/10.1177/0038040711427314
  • Tobias H. Stark, Andreas Flache and René Veenstra (2013). Generalization of Positive and Negative Attitudes Toward Individuals to Outgroup Attitudes. Personality and Social Psychology Bulletin, 38, 608-622. DOI: http://dx.doi.org/10.1177/0146167213480890
  • Christian Steglich and Andrea Knecht (2014). Studious by association? Effects of teacher's attunement to students' peer relations. Zeitschrift für Erziehungswissenschaft 17.5, 153-170. DOI: http://dx.doi.org/10.1007/s11618-014-0556-8.
  • Yixuan Tang, Guangbin Wang, Heng Li and Dongping Cao (2018). Dynamics of collaborative networks between contractors and subcontractors in the construction industry: Evidence from national quality award projects in China. Journal of Construction Engineering and Management, 144(9). DOI: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001555
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  • Anne L.J. Ter Wal (2014). The dynamics of the inventor network in German biotechnology: geographic proximity versus triadic closure. Journal of Economic Geography, 14, 589-620. DOI: http://dx.doi.org/10.1093/jeg/lbs063.
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  • van de Bunt, G.G., Friends by Choice. An Actor-Oriented Statistical Network Model for Friendship Networks Through Time.
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Articles about dynamics of personal networks.

  • Miranda J. Lubbers, Jose Luis Molina, Jurgen Lerner, Ulrik Brandes, Javier Avila, Christopher McCarty (2010). Longitudinal analysis of personal networks. The case of Argentinean migrants in Spain. Social Networks, 32, 91-104.DOI: http://dx.doi.org/10.1016/j.socnet.2009.05.001.

Articles about dynamics of networks and behavior.

Tutorial / review articles

  • Yuval Kalish (2019). Stochastic Actor-Oriented Models for the Co-Evolutionof Networks and Behavior: An Introduction and Tutorial. Organizational Research Methods, in press. DOI: http://dx.doi.org/10.1177/1094428118825300
  • Frank Kalter (2016). Social Network Analysis in the Study of Ethnic Inequalities. In Emerging Trends in the Social and Behavioral Sciences (eds R. A. Scott and S. M. Kosslyn). DOI: http://dx.doi.org/10.1002/9781118900772.etrds0397
  • Tom A.B. Snijders, Gerhard G. van de Bunt, and Christian E.G. Steglich (2010). Introduction to actor-based models for network dynamics. Social Networks, 32, 44-60. DOI: http://dx.doi.org/10.1016/j.socnet.2009.02.004
  • Veenstra, R., and Dijkstra, J.K. (2011). Transformations in Peer Networks. Chapter 7 (pp. 135-154) in B. Laursen and W.A. Collins (eds.), Relationship Pathways: From Adolescence to Young Adulthood. New York: Sage.
  • René Veenstra, Jan Kornelis Dijkstra, and Derek A. Kreager (2018). Pathways, networks, and norms: A sociological perspective on peer research. In W.M. Bukowski, B. Laursen, & K.H. Rubin (eds.) Handbook of peer interactions, relationships, and groups, 2nd edition (pp.45-63). New York: Guilford.
  • ISBN 9781462525010
  • Veenstra, R., and Steglich, C. (2012). Actor-based model for network and behavior dynamics: A tool to examine selection and influence processes. Chapter 34 (pp. 598-618) in B. Laursen, T. D. Little, and N. A. Card (Eds.), Handbook of developmental research methods. New York: Guilford Press.
  • Ralf Wölfer, Nadira S. Faber, and Miles Hewstone (2015). Social network analysis in the science of groups: Cross-sectional and longitudinal applications for studying intra-and intergroup behavior. Group Dynamics: Theory, Research, and Practice, 19, 45-61. DOI: http://dx.doi.org/10.1037/gdn0000021

Meta-analyses of Siena results

  • Xiaoping Deng, Chen Xu, Maowei Cheng, and Xiangkui Zhang (2017). Peer selection and peer influence: A meta-analysis on social network based research on adolescent delinquency. Advances in Psychological Science, 25 (11): 1898-1909. (in Chinese) DOI: http://dx.doi.org/10.3724/SP.J.1042.2017.01898
  • Valeria Ivaniushina, Vera Titkova and Daniel Alexandrov (2019). Peer influence in adolescent drinking behaviour: a protocol for systematic review and meta-analysis of stochastic actor-based modeling studies. BMJ Open, 9(7). DOI: http://dx.doi.org/10.1136/bmjopen2018-028709.
  • Owen Gallupe, John McLevey and Sarah Brown (2018). Selection and influence: A meta-analysis of the association between peer and personal offending. Journal of Quantitative Criminology, 1-23. DOI: https://doi.org/10.1007/s10940-018-9384-y

Special issue

  • Journal of Research on Adolescence, 23, Issue 3, pages 399-603.
  • Special Issue: Network and Behavior Dynamics in Adolescence.
  • Introduction:
  • René Veenstra, Jan Kornelis Dijkstra, Christian Steglich and Maarten H. W. Van Zalk (2013). Network-Behavior Dynamics. Journal of Research on Adolescence, 23, 399-412. DOI: http://dx.doi.org/10.1111/jora.12070.

Research articles

  • jimi adams and David R. Schaefer (2016). How Initial Prevalence Moderates Network-based Smoking Change: Estimating Contextual Effects with Stochastic Actor-based Models . Journal of Health and Social Behavior , 57, 22-38. DOI: http://dx.doi.org/10.1177/0022146515627848

  • Filip Agneessens and Rafael Wittek, (2008), Social capital and employee well-being: disentangling intrapersonal and interpersonal selection and influence mechanisms. Revue Française de Sociologie, 49, 613-637.

  • Yoshiyuki Arata, Abhijit Chakraborty, Yoshi Fujiwara, Hiroyasu Inoue, Hazem Krichene and Masaaki Terai (2018). Shock Propagation Through Customer-Supplier Relationships: An Application of the Stochastic Actor-Oriented Model. International Workshop on Complex Networks and their Applications, 1100-1110. DOI: https://doi.org/10.1007/978-3-319-72150-7_89

  • Laura Baams, Geertjan Overbeek, Daphne van de Bongardt, Ellen Reitz, Judith Semon Dubas, Marcel van Aken (2015). Adolescents' and their friends' sexual behavior and intention: Selection effects of personality dimensions. Journal of Research in Personality, 54, 2-12. DOI: http://dx.doi.org/10.1016/j.jrp.2014.07.009.

  • Chris Baerveldt, Beate Völker, and Ronan Van Rossem (2008). Revisiting selection and influence: an inquiry into the friendship networks of high school students and their association with delinquency. Canadian Journal of Criminology and Criminal Justice, 50, 559-587. DOI: http://dx.doi.org/10.3138/cjccj.50.5.559.

  • (Note: the quadratic shape function may have been mistakenly omitted from the specification of the behavior objective function in the analyses reported here.)

  • Richard A. Benton (2016). Corporate governance and nested authority: Cohesive network structure, actor-driven mechanisms, and the balance of power in American corporations. American Journal of Sociology, 122, 661-713. DOI: https://doi.org/10.1086/689397

  • Note: this article contains a study of the co-evolution of a two-mode network (firms by directors) and 'behavior' (governance index).

  • Ramiro Berardo and John T. Scholz, (2010), Self-Organizing Policy Networks: Risk, Partner Selection and Cooperation in Estuaries. American Journal of Political Science, 54, 632-649. DOI: http://dx.doi.org/10.1111/j.1540-5907.2010.00451.x.

  • Christian Berger, Mariola C. Gremmen, Diego Palacios and Eduardo Franco (2019). "Would you be my friend?": Friendship selection and contagion processes of early adolescents who experience victimization. The Journal of Early Adolescence, in press. DOI: https://doi.org/10.1177/0272431618824753

  • Mohamed Bin Abderrazek Boukhris(2019). Uncertainty versus learning: a network approach for corporate strategic partner selection. International Journal of Asian Social Science, 9(11), 554-569. DOI: https://doi.org/10.18488/journal.1.2019.911.554.569.

  • Richard A. Brenton (2016). Corporate Governance and Nested Authority: Cohesive Network Structure, Actor-Driven Mechanisms, and the Balance of Power in American Corporations. American Journal of Sociology, 122, 661-713. DOI: https://doi.org/10.1086/689397.

  • Arturo Briseno, Bryan W. Husted and Jorge M. Rocha (2019). Methodological problems in research on the diffusion of management practices. Contaduria y Administracion, 64(1), 1-15. DOI: http://dx.doi.org/10.22201/fca.24488410e.2018.1251

  • Meg Bruening, Irene van Woerden, David R. Schaefer, Daniel Hruschka, Alexandra Brewis, Corrie M. Whisner, Genevieve F. Dunton, Michael Todd, Punam Ohri-Vachaspati and Melissa N. Laska (2018). Friendship as a social mechanism influencing body mass index (BMI) among emerging adults. PLOS ONE, 13(12), e0208894. DOI: https://doi.org/10.1371/journal.pone.0208894

  • William J. Burk, Margaret Kerr, and Håkan Stattin (2008), The co-evolution of early adolescent friendship networks, school involvement, and delinquent behaviors. Revue Française de Sociologie, 49, 499-522.

  • Burk, William J., Steglich, Christian E.G., and Snijders, Tom A.B. (2007). Beyond dyadic interdependence: Actor-oriented models for co-evolving social networks and individual behaviors. International Journal of Behavioral Development, 31, 397-404.

  • Tobias Buchmann and Andreas Pyka (2015). The evolution of innovation networks: the case of a publicly funded German automotive network. Economics of Innovation and New Technology, 24, 114-139. DOI: http://dx.doi.org/10.1080/10438599.2014.897860.

  • Burk, W.J., Van der Vorst, H., Kerr, M., & Stattin, H. (2012). Alcohol intoxication frequency and friendship dynamics: Selection and socialization in early, mid- and late adolescent peer networks. Journal of Studies on Alcohol and Drugs, 73, 89-98.

  • Caravita, S.C.S., Sijtsema, J.J., Rambaran, J.A., and Gini, G. (2014). Peer Influences on Moral Disengagement in Late Childhood and Early Adolescence. Journal of Youth and Adolescence, 43(2), 193-207. DOI: http://dx.doi.org/10.1007/s10964-013-9953-1.

  • Matthew Checkley, Christian Steglich, Duncan Angwin, and Richard Endersby (2014). Firm Performance and the Evolution of Cooperative Interfirm Networks: UK Venture Capital Syndication. Strategic Change, 23, 107-118. DOI: http://dx.doi.org/10.1002/jsc.1963.

  • Angela Chow, Noona Kiuru, Philip D. Parker, Jacquelynne C. Eccles and Katariina Salmela-Aro (2018). Development of friendship and task values in a new school: Friend selection for the arts and physical education but socialization for academic subjects. Journal of Youth and Adolescence, 47, 1966-1977. DOI: https://doi.org/10.1007/s10964-018-0894-6

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  • Miranda J. Lubbers, Tom A.B. Snijders, and Margaretha P.C. van der Werf (2011). Dynamics of Peer Relationships Across the First Two Years of Junior High as a Function of Gender and Changes in Classroom Composition. Journal of Research on Adolescence, 21, 488-504. DOI: http://dx.doi.org/10.1111/j.1532-7795.2010.00688.x .

  • Mark S. Manger and Mark A. Pickup (2016). The Coevolution of Trade Agreement Networks and Democracy. Journal of Conflict Resolution, 60, 164-191. DOI: http://dx.doi.org/10.1177/0022002714535431 .

  • Carol L. Martin, Olga Kornienko, David R. Schaefer, Laura D. Hanish, Richard A. Fabes and Priscilla Goble (2013). The Role of Sex of Peers and Gender-Typed Activities in Young Children's Peer Affiliative Networks: A Longitudinal Analysis of Selection and Influence. Child Development, 84, 921-937. DOI: http://dx.doi.org/10.1111/cdev.12032

  • Cécile Mathys, William J. Burk and Antonius H. N. Cillessen (2013). Popularity as a Moderator of Peer Selection and Socialization of Adolescent Alcohol, Marijuana, and Tobacco Use. Journal of Research on Adolescence, 23, 513-523. DOI: http://dx.doi.org/10.1111/jora.12031.

  • Petr Matous and Yasuyuki Todo (2015). Exploring dynamic mechanisms of learning networks for resource conservation. Ecology and Society 20(2): 36. DOI: http://dx.doi.org/10.5751/ES-07602-200236.

  • Petr Matous and Yasuyuki Todo (2017). Analyzing the coevolution of interorganizational networks and organizational performance: Automakers' production networks in Japan. Applied Network Science, 2, 5. DOI: https://doi.org/10.1007/s41109-017-0024-5

  • Petr Matous, Yasuyuki Todo And Tatsuya Ishikawa (2014). Emergence of multiplex mobile phone communication networks across rural areas: An Ethiopian experiment. Network Science, 2, 162-188. DOI: http://dx.doi.org/10.1017/nws.2014.12

  • Cassie McMillan, Diane Felmlee and D. Wayne Osgood (2018). Peer influence, friend selection, and gender: How network processes shape adolescent smoking, drinking, and delinquency. Social Networks, 55, 86-96. DOI: https://doi.org/10.1016/j.socnet.2018.05.008

  • Jingbo Meng (2016). Your Health Buddies Matter: Preferential Selection and Social Influence on Weight Management in an Online Health Social Network. Health Communication, 31, 1460-1471. DOI: http://dx.doi.org/10.1080/10410236.2015.1079760

  • Sterett H. Mercer and Melissa A. Derosier (2010). Selection and Socialization of Internalizing Problems in Middle Childhood. Journal of Social and Clinical Psychology, 29, 1031-1056. DOI: http://dx.doi.org/10.1521/jscp.2010.29.9.1031.

  • L. Mercken, J.E. Saul, R.H. Lemaire, T.W. Valente, and S.J. Leischow (2015). Coevolution of Information Sharing and Implementation of Evidence-Based Practices Among North American Tobacco Cessation Quitlines. American Journal of Public Health, 105, 1814-1822. DOI: http://dx.doi.org/10.2105/AJPH.2015.302627.

  • L. Mercken, E.F.C. Sleddens, H. de Vries, and C.E.G. Steglich (2013). Choosing adolescent smokers as friends: The role of parenting and parental smoking. Journal of Adolescence, 36, 383-392. DOI: http://dx.doi.org/10.1016/j.adolescence.2012.12.004.

  • L. Mercken, T.A.B. Snijders, C. Steglich, E. Vartiainen, H. de Vries (2010). Dynamics of adolescent friendship networks and smoking behavior. Social Networks, 32, 72-81. DOI: http://dx.doi.org/10.1016/j.socnet.2009.02.005.

  • L. Mercken, T.A.B. Snijders, C. Steglich, E. Vartiainen, H. de Vries (2010). Smoking-based selection and influence in gender-segregated friendship networks: a social network analysis of adolescent smoking . Addiction, 105, 1280-1289. DOI: http://dx.doi.org/10.1111/j.1360-0443.2010.02930.x.

  • Liesbeth Mercken, Tom A.B. Snijders, Christian Steglich, Hein de Vries (2009). Dynamics of adolescent friendship networks and smoking behavior: Social network analyses in six European countries. Social Science and Medicine (2009), 69, 1506-1514. DOI: http://dx.doi.org/10.1016/j.socscimed.2009.08.003.

  • Liesbeth Mercken, Christian Steglich, Ronald Knibbe, Hein de Vries (2012). Dynamics of Friendship Networks and Alcohol Use in Early and Mid-Adolescence. Journal of Studies on Alcohol and Drugs, 73, 99-110.

  • Liesbeth Mercken, Christian Steglich, Philip Sinclair, Jo Holliday, and Laurence Moore (2012). A longitudinal social network analysis of peer influence, peer selection, and smoking behavior among adolescents in British schools. Health Psychology, 31, 450-459. DOI: http://psycnet.apa.org/doi/10.1037/a0026876.

  • Loes Meeussen, Filip Agneessens, Ellen Delvaux and Karen Phalet (2018). Ethnic diversity and value sharing: A longitudinal social network perspective on interactive group processes. British Journal of Social Psychology, 57, 428-447. DOI: http://dx.doi.org/10.1111/bjso.12237

  • Gabriel J. Merrin, Kayla de la Haye, Dorothy L. Espelage, Brett Ewing, Joan S. Tucker, Matthew Hoover and Harold D. Green Jr. (2018). The Co-evolution of Bullying Perpetration, Homophobic Teasing, and a School Friendship Network. Journal of Youth and Adolescence, 47, 601-618. DOI: https://doi.org/10.1007/s10964-017-0783-4

  • Steffen Mohrenberg (2017). Studying Policy Diffusion with Stochastic Actor-Oriented Models. In: Betina Hollstein, Wenzel Matiaske, and Kai-Uwe Schnapp, Networked Governance: New Research Perspectives, p. 163-188, Cham: Springer. DOI: http://dx.doi.org/10.1007/978-3-319-50386-8_10.

  • Andres Molano, Stephanie M. Jones, Joshua L. Brown and J. Lawrence Aber (2013). Selection and Socialization of Aggressive and Prosocial Behavior: The Moderating Role of Social-Cognitive Processes. Journal of Research on Adolescence, 23, 424-436. DOI: http://dx.doi.org/10.1111/jora.12034.

  • Marlon P. Mundt (2013). Social Network Analysis of Peer Effects on Binge Drinking among U.S. Adolescents. In Ariel M. Greenberg, William G. Kennedy, and Nathan D. Bos, Social Computing, Behavioral-Cultural Modeling and Prediction, Lecture Notes in Computer Science, 7812. Berlin and Heidelberg: Springer. DOI: http://dx.doi.org/10.1007/978-3-642-37210-0_14.

  • Marlon P. Mundt, Liesbeth Mercken, and Larissa Zakletskaia (2012). Peer selection and influence effects on adolescent alcohol use: a stochastic actor-based model. BMC Pediatrics 2012, 12:115. http://www.biomedcentral.com/1471-2431/12/115.

  • Ojanen, T., Sijtsema, J. J., Hawley, P. H., and Little, T. D. (2010). Intrinsic and extrinsic motivation in early adolescents' friendship development: Friendship selection, influence, and prospective friendship quality. Journal of Adolescence, 33, 837-851. DOI: http://dx.doi.org/10.1016/j.adolescence.2010.08.004.

  • Tiina Ojanen, Jelle J. Sijtsema and Ashwin J. Rambaran (2013). Social Goals and Adolescent Friendships: Social Selection, Deselection, and Influence. Journal of Research on Adolescence, 23, 550-662. DOI: http://dx.doi.org/10.1111/jora.12043.

  • D. Wayne Osgood, Mark E. Feinberg, and Daniel T. Ragan (2015). Social Networks and the Diffusion of Adolescent Problem Behavior: Reliable Estimates of Selection and Influence from Sixth Through Ninth Grades. Prevention Science, 16, 832-843. DOI: http://dx.doi.org/10.1007/s11121-015-0558-7.

  • D. Wayne Osgood, Daniel T. Ragan, Lacey Wallace, Scott D. Gest, Mark E. Feinberg and James Moody (2013). Peers and the Emergence of Alcohol Use: Influence and Selection Processes in Adolescent Friendship Networks. Journal of Research on Adolescence, 23, 500-512. DOI: http://dx.doi.org/10.1111/jora.12059.

  • Mark C. Pachucki, Emily J. Ozer, Alain Barrat, Ciro Cattuto (2015). Mental health and social networks in early adolescence: A dynamic study of objectively-measured social interaction behaviors. Social Science & Medicine 125, 40-50. DOI: http://dx.doi.org/10.1016/j.socscimed.2014.04.015.

  • Diego Palacios and Christian Berger (2015). Are good students desirable friends? Evidence for friendship selection among elementary students / ¿Son los buenos estudiantes amigos deseables? Evidencia para la selección de amistad entre estudiantes de educación primaria. Estudios de Psicología: Studies in Psychology, 36, 496-508. DOI: http://dx.doi.org/10.1080/02109395.2015.1028729

  • Birgit Pauksztat (2019). Informal relations and communication about work-related problems in two multilingual crews. Marine Policy, in press. DOI: https://doi.org/10.1016/j.marpol.2019.103767

  • Pearson, Michael, Steglich, Christian, and Snijders, Tom (2006). Homophily and assimilation among sport-active adolescent substance users. Connections 27(1), 47-63.

  • (Note: the quadratic shape function has mistakenly been omitted from the specification of the behavior objective function in the analyses reported here.)

  • Sebastian Pink, David Kretschmer and Lars Leszczensky (2020). Choice modelling in social networks using stochastic actor-oriented models. Journal of Choice Modelling, 34. DOI: https://doi.org/10.1016/j.jocm.2020.100202

  • Christina Prell and Kuishuang Feng (2016). The evolution of global trade and impacts on countries' carbon trade imbalances. Social Networks 46, 87-100. DOI: http://dx.doi.org/10.1016/j.socnet.2016.03.001

  • Emanuela Rabaglietti, William J. Burk, and Matteo Giletta (2012). Regulatory self-efficacy as a moderator of peer socialization relating to Italian adolescents' alcohol intoxication. Social Development, 21, 522-536. DOI: http://dx.doi.org/10.1111/j.1467-9507.2011.00637.x

  • Isabel J. Raabe, Zsófia Boda and Christoph Stadtfeld (2019). The social pipeline: How friend influence and peer exposure widen the STEM gender gap. Sociology of Education, 92, 105-123. DOI: https://doi.org/10.1177/0038040718824095

  • Multilevel (uses sienaBayes).

  • Daniel T. Ragan (2014). Revisiting "what they think": adolescent drinking and the importance of peer beliefs. Criminology, 52, 488-513. DOI: http://dx.doi.org/10.1111/1745-9125.12044

  • Daniel T. Ragan(2016). Peer beliefs and smoking in adolescence: a longitudinal social network analysis. The American Journal of Drug and Alcohol Abuse, 42, 222-230. DOI: http://dx.doi.org/10.3109/00952990.2015.1119157

  • Daniel T. Ragan (2020). Similarity between deviant peers: Developmental trends in influence and selection. Criminology, 1-34. DOI: https://doi.org/10.1111/1745-9125.12238

  • Daniel T. Ragan, D. Wayne Osgood and Mark E. Feinberg (2014). Friends as a bridge to parental influence: Implications for adolescent alcohol use. Social Forces, 92, 1061-1085. DOI: http://dx.doi.org/10.1093/sf/sot117

  • Daniel T. Ragan, D. Wayne Osgood, Nayan G. Ramirez, James Moody and Scott D. Gest (2019). A comparison of peer influence estimates from SIENA Stochastic Actor-based Models and from conventional regression approaches. Sociological Methods and Research, in press. DOI: https://doi.org/10.1177/0049124119852369

  • Ashwin J. Rambaran, Jan Kornelis Dijkstra and Tobias H. Stark (2013). Status-Based Influence Processes: The Role of Norm Salience in Contagion of Adolescent Risk Attitudes. Journal of Research on Adolescence, 23, 574-585. DOI: http://dx.doi.org/10.1111/jora.12032

  • J. Ashwin Rambaran, Andrea Hopmeyer, David Schwartz, Christian E.G. Steglich, Daryaneh Badaly, and René Veenstra (2016). Academic functioning and peer influences: A short-term longitudinal study of network-behavior dynamics in middle adolescence. Child Development, 88, 523-543.

  • Rayner, Kathryn E., Carolyn A. Schniering, Ronald M. Rapee, Alan Taylor, and Delyse M. Hutchinson (2013). Adolescent girls' friendship networks, body dissatisfaction, and disordered eating: Examining selection and socialization processes. Journal Of Abnormal Psychology, 122, 93-104. DOI: http://dx.doi.org/doi:10.1037/a0029304.

  • Lauren Rhue and Arun Sundararajan (2014). Digital access, political networks and the diffusion of democracy. Social Networks, 36, 40-53. DOI: http://dx.doi.org/10.1016/j.socnet.2012.06.007.

  • Deborah Rivas-Drake, Muniba Saleem, David R. Schaefer, Michael Medina and Robert Jagers (2019). Intergroup contact attitudes across peer networks in school: Selection, influence, and implications for cross-group friendships. Child Development, 90, 1898-1916. DOI: https://doi.org/10.1111/cdev.13061

  • Deborah Rivas-Drake, Adriana J Umaña-Taylor, David R Schaefer, and Michael Medina (2017). Ethnic-Racial Identity and Friendships in Early Adolescence. Child Development, 88, 710-724. DOI: http://dx.doi.org/10.1111/cdev.12790

  • Kelly L. Rulison, Scott D. Gest and Eric Loken (2013). Dynamic Social Networks and Physical Aggression: The Moderating Role of Gender and Social Status Among Peers. Journal of Research on Adolescence, 23, 437-449. DOI: http://dx.doi.org/10.1111/jora.12044.

  • David R. Schaefer (2018). A Network Analysis of Factors Leading Adolescents to Befriend Substance-Using Peers. Journal of Quantitative Criminology, 34, 275-312. DOI: https://doi.org/10.1007/s10940-016-9335-4.

  • David R. Schaefer, jimi adams, and Steven A. Haas (2013). Social Networks and Smoking: Exploring the Effects of Peer Influence and Smoker Popularity Through Simulations. Health Education and Behavior, 40, no. 1, 24S-32S. DOI: http://dx.doi.org/10.1177/1090198113493091.

  • Mathis Schulte, N. Andrew Cohen, and Katherine J. Klein. The Coevolution of Network Ties and Perceptions of Team Psychological Safety. Organization Science 23 (2012), 564-581. DOI: http://dx.doi.org/doi:10.1287/orsc.1100.0582.

  • Miranda Sentse, Jan Kornelis Dijkstra, Christina Salmivalli, and Antonius H. N. Cillessen (2013). The Dynamics of Friendships and Victimization in Adolescence: A Longitudinal Social Network Perspective. Aggressive Behavior, 39, 229-238. DOI: http://dx.doi.org/10.1002/ab.21469.

  • Miranda Sentse, Noona Kiuru, René Veenstra, and Christina Salmivalli (2014). A Social Network Approach to the Interplay Between Adolescents' Bullying and Likeability over Time. Journal of youth and adolescence Journal of youth and adolescence, 43, 1409-1420. DOI: http://dx.doi.org/10.1007/s10964-014-0129-4.

  • Huiyoung Shin (2017). Friendship Dynamics of Adolescent Aggression, Prosocial Behavior, and Social Status: The Moderating Role of Gender. Journal of Youth and Adolescence, 46, 2305-2320. DOI: https://doi.org/10.1007/s10964-017-0702-8

  • Huiyoung Shin (2019). The role of perceived bullying norms in friendship dynamics: An examination of friendship selection and influence on bullying and victimization. International Journal of Behavioral Development, 1-11. DOI: https://doi.org/10.1177/0165025419868533

  • Huiyoung Shin and Allison M. Ryan (2014). Friendship Networks and Achievement Goals: An Examination of Selection and Influence Processes and Variations by Gender. Journal of Youth and Adolescence, 43, 1453-1464. DOI: http://dx.doi.org/10.1007/s10964-014-0132-9.

  • Huiyoung Shin and Allison M. Ryan (2017). Friend influence on early adolescent disruptive behavior in the classroom: Teacher emotional support matters. Developmental Psychology, 53, 114-125. DOI: http://dx.doi.org/10.1037/dev0000250.

  • Huiyoung Shin, Allison M. Ryan and Elizabeth North (2019). Friendship processes around prosocial and aggressive behaviors: The role of teacher-student relatedness and differences between elementary school and middle-school classrooms. Merrill-Palmer Quarterly, 65(2), 232-263. DOI: https://doi.org/10.13110/merrpalmquar

  • Michael D. Siciliano, Nienke M. Moolenaar, Alan J. Daly and YiHwa Liou (2017). A Cognitive Perspective on Policy Implementation: Reform Beliefs, Sensemaking, and Social Networks. Public Administration Review, 77, 889-901. DOI: http://dx.doi.org/10.1111/puar.12797

  • Jelle J. Sijtsema and Siegwart M. Lindenberg (2018). Peer influence in the development of adolescent antisocial behavior: Advances from dynamic social network studies. Developmental Review, 50 B, 140-154. DOI: https://doi.org/10.1016/j.dr.2018.08.002

  • Shoham, D.A., Tong, L., Lamberson, P.J., Auchincloss, A.H., Zhang, J., et al. (2012). An Actor-Based Model of Social Network Influence on Adolescent Body Size, Screen Time, and Playing Sports. PLoS ONE 7(6): e39795. DOI: http://dx.doi.org/10.1371/journal.pone.0039795.

  • Jelle J. Sijtsema, Tiina Ojanen, René Veenstra, Siegwart Lindenberg, Patricia H. Hawley, and Todd D. Little (2010). Forms and functions of aggression in adolescent friendship selection and influence: A longitudinal social network analysis. Social Development 19, 515-534. DOI: http://dx.doi.org/10.1111/j.1467-9507.2009.00566.x.

  • Jelle J. Sijtsema, Ashwin J. Rambaran, and Tiina J. Ojanen (2013). Overt and relational victimization and adolescent friendships: Selection, de-selection, and social influence. Social Influence, 8, 177-195. DOI: http://dx.doi.org/10.1080/15534510.2012.739097.

  • Sijtsema, J.J., Rambaran, J.A., Caravita, S.C.S., and Gini, G. (2014). Friendship Selection and Influence in Bullying and Defending: Effects of Moral Disengagement. Developmental Psychology, 50, 2093-2104. DOI: http://dx.doi.org/10.1037/a0037145.

  • Melissa Simone, Emily Long and Ginger Lockhart (2018). The Dynamic Relationship between Unhealthy Weight Control and Adolescent Friendships: A Social Network Approach. Journal of Youth and Adolescence, 47, 1373-1384. DOI: https://doi.org/10.1007/s10964-017-0796-z

  • Sandra D. Simpkins, David R. Schaefer, Chara D. Price and Andrea E. Vest (2013). Adolescent Friendships, BMI, and Physical Activity: Untangling Selection and Influence Through Longitudinal Social Network Analysis. Journal of Research on Adolescence, 23, 537-549. DOI: http://dx.doi.org/10.1111/j.1532-7795.2012.00836.x.

  • Christian Steglich, Philip Sinclair, Jo Holliday, Laurence Moore (2012). Actor-based analysis of peer influence in A Stop Smoking In Schools Trial (ASSIST). Social Networks, 34, 359-369. DOI: http://dx.doi.org/10.1016/j.socnet.2010.07.001.

  • Steglich, C.E.G., Snijders, T.A.B. and West, P. (2006), Applying SIENA: An illustrative analysis of the co-evolution of adolescents' friendship networks, taste in music, and alcohol consumption. Methodology, 2, 48-56.

  • (Note: the quadratic shape function has mistakenly been omitted from the specification of the behavior objective function in the analyses reported here.)

  • For a re-analysis, see one of the Practicals at the RSiena scripts page.

  • Karen Stepanyan, Richard Mather, and Roger Dalrymple (2014). Culture, role and group work: A social network analysis perspective on an online collaborative course. British Journal of Educational Technology, 45, 676-693. DOI: http://dx.doi.org/10.1111/bjet.12076.

  • Ylva Svensson, William J. Burk, Håkan Stattin, and Margaret Kerr (2012). Peer selection and influence of delinquent behavior of immigrant and nonimmigrant youths: Does context matter? International Journal of Behavioral Development, 36, 178-185. DOI: http://dx.doi.org/10.1177/0165025411434652.

  • Lauree C. Tilton-Weaver, William J. Burk, Margaret Kerr, and Håkan Stattin (2013). Can Parental Monitoring and Peer Management Reduce the Selection or Influence of Delinquent Peers? Testing the Question Using a Dynamic Social Network Approach. Developmental Psychology, 49, 2057-2070. DOI: http://dx.doi.org/10.1037/a0031854

  • Sarah L. Trinh, Jaemin Lee, Carolyn T. Halpern, and James Moody (2019). Our Buddies, Ourselves: The Role of Sexual Homophily in Adolescent Friendship Networks. Child Development, 90, e132-e147. DOI: http://dx.doi.org/10.1111/cdev.13052

  • Troester, C., Parker, A., van Knippenberg, D., and Sahlmueller, B. (2018). The Coevolution of Social Networks and Thoughts of Quitting. Academy of Management Journal, 62, 22-43 . DOI: https://doi.org/10.5465/amj.2016.0914 https://doi.org/10.5465/amj.2016.0914

  • Joan S. Tucker, Kayla de la Haye, David P. Kennedy, Harold D. Green Jr., and Michael S. Pollard (2014). Peer Influence on Marijuana Use in Different Types of Friendships. Journal of Adolescent Health, 54, 67-73. DOI: http://dx.doi.org/10.1016/j.jadohealth.2013.07.025.

  • Ilmo van der Löwe and Brian Parkinson (2014). Relational emotions and social networks. In Christian von Scheve, Mikko Salmela (eds.), Collective Emotions: Perspectives from Psychology, Philosophy, and Sociology, pp. 125-140. Oxford University Press.

  • Adriana J. Umaña-Taylor, Olga Kornienko, Elana R. McDermott & Frosso Motti-Stefanidi (2019). National identity development and friendship network dynamics among immigrant and non-immigrant youth. Journal of Youth and Adolescence DOI: https://doi.org/10.1007/s10964-019-01181-1

  • Loes Van Rijsewijk, Jan Kornelis, Dijkstra, Kim Pattiselanno, Christian E.G. Steglich, and René Veenstra, R. (2016). Who helps whom? Investigating the development of adolescent prosocial relationships. Developmental Psychology, 52, 894-908. DOI: http://dx.doi.org/10.1037/dev0000106

  • Loes G.M. van Rijsewijk, Beau Oldenburg, Tom A.B. Snijders, Jan Kornelis Dijkstra, and René Veenstra (2018). A description of classroom help networks, individual network position, and their associations with academic achievement. PLoS ONE 13(12): e0208173.

  • (Uses sienaBayes)

  • Mark J. Van Ryzin, Dawn DeLay, and Thomas J. Dishion (2016). Being well-liked predicts increased use of alcohol but not tobacco in early adolescence. Addictive Behaviors, 53, 168-174. DOI: http://dx.doi.org/10.1016/j.addbeh.2015.10.017

  • Maarten van Zalk and Jaap Denissen (2015). Idiosyncratic versus social consensus approaches to personality: Self-view, perceived, and peer-view similarity. Journal of Personality and Social Psychology, 109, 121-141. DOI: http://dx.doi.org/10.1037/pspp0000035.

  • Maarten Herman Walter Van Zalk, Margaret Kerr, Susan T. Branje, Håkan Stattin, and Wim H.J. Meeus (2010). It Takes Three: Selection, Influence, and De-Selection Processes of Depression in Adolescent Friendship Networks. Developmental Psychology, 46, 927-938. DOI: http://dx.doi.org/10.1037/a0019661.

  • Maarten Herman Walter Van Zalk, Margaret Kerr, Susan T. Branje, Håkan Stattin, and Wim H.J. Meeus (2010). Peer Contagion and Adolescent Depression: The Role of Failure Anticipation. Journal of Clinical Child and Adolescent Psychology, 39, 837-848. DOI: http://dx.doi.org/10.1080/15374416.2010.517164.

  • Maarten Herman Walter Van Zalk, Margaret Kerr, Nejra Van Zalk, and Håkan Stattin (2012). Xenophobia and Tolerance Toward Immigrants in Adolescence: Cross-Influence Processes Within Friendships. Journal of Abnormal Child Psychology, 79, 499-526. DOI: http://dx.doi.org/10.1007/s10802-012-9694-8.

  • Maarten H. W. van Zalk, Steffen Nestler, Katharina Geukes, Roos Hutteman and Mitja D. Back (2019). The co-development of extraversion and friendships: Bonding and behavioral mechanisms in friendship networks.

  • Journal of Personality and Social Psychology, in press. DOI: https://doi.org/10.1037/pspp0000253

  • Maarten H. W. van Zalk and Jaap Denissen (2015). Idiosyncratic versus social consensus approaches to personality: Self-view, perceived, and peer-view similarity. Journal of Personality and Social Psychology, 109, 121-141. DOI: http://dx.doi.org/10.1037/pspp0000035.

  • Maarten Herman Walter Van Zalk and Nejra Van Zalk (2015). The Importance of Perceived Care and Connectedness with Friends and Parents for Adolescent Social Anxiety. Journal of Personality, 83, 346-360. DOI: http://dx.doi.org/10.1111/jopy.12108.

  • Maarten Herman Walter Van Zalk and Nejra Van Zalk (2015). Violent peer influence: The roles of self-esteem and psychopathic traits. Development and Psychopathology, 27, 1077-1088. DOI: http://dx.doi.org/10.1017/S0954579415000693.

  • Maarten Herman Walter Van Zalk, Nejra Van Zalk, Margaret Kerr, and Håkan Stattin (2014). Influences Between Online-Exclusive, Conjoint and Offline-Exclusive Friendship Networks: The Moderating Role of Shyness. European Journal of Personality, 28, pages 134-146. DOI: http://dx.doi.org/10.1002/per.1895.

  • Nejra Van Zalk, Maarten Van Zalk, Margaret Kerr and Håkan Stattin (2011). Social Anxiety as a Basis for Friendship Selection and Socialization in Adolescents' Social Networks. Journal of Personality, 79, 499-526. DOI: http://dx.doi.org/10.1111/j.1467-6494.2011.00682.x.

  • René Veenstra, Jan Kornelis Dijkstra, Christian Steglich and Maarten H. W. Van Zalk (2013). Network-Behavior Dynamics. Journal of Research on Adolescence, 23, 399-412. DOI: http://dx.doi.org/10.1111/jora.12070.

  • Christopher R. van Rueden, Daniel Redhead, Rick O'Gorman, Hillard Kaplan and Michael Gurven (2019). The dynamics of men's cooperation and social status in a small-scale society. Proceedings of the Royal Society B. DOI: https://doi.org/10.1098/rspb.2019.1367

  • Frank Weerman (2011). Delinquent Peers in Context: A Longitudinal Network Analysis of Selection and Influence Effects. Criminology, 49, 253-286. DOI: http://dx.doi.org/10.1111/j.1745-9125.2010.00223.x.

  • Nicole van Workum, Ron H. J. Scholte, Antonius H. N. Cillessen, Gerine M. A. Lodder and Matteo Giletta (2013). Selection, Deselection, and Socialization Processes of Happiness in Adolescent Friendship Networks. Journal of Research on Adolescence, 23, 563-573. DOI: http://dx.doi.org/10.1111/jora.12035.

  • Cheng Wang, John R. Hipp, Carter T. Butts, Rupa Jose, Cynthia M. Lakon (2015). Alcohol Use among Adolescent Youth: The Role of Friendship Networks and Family Factors in Multiple School Studies. PLoS ONE 10(3): e0119965. DOI: http://dx.doi.org/10.1371/journal.pone.0119965

  • Cheng Wang, John R. Hipp, Carter T. Butts and Cynthia M. Lakon (2018). The interdependence of cigarette, alcohol, and marijuana use in the context of schoolbased social networks. PloS ONE, 13(7): e0200904. DOI: https://doi.org/10.1371/journal.pone.0200904

  • Ming-Te Wang, Noona Kiuru, Jessica L. Degol and Katariina Salmela-Aro (2018). Friends, academic achievement, and school engagement during adolescence: A social network approach to peer influence and selection effects. Learning and Instruction, 58, 148-160. DOI: https://doi.org/10.1016/j.learninstruc.2018.06.003

  • Zebing Wu (2015). Adolescent friendship network and college enrollment: a longitudinal network analysis of selection and influence processes. PhD (Doctor of Philosophy) thesis, University of Iowa, 2015.

  • Hsieh-Hua Yang and Chyi-In Wu (2015). Evolution Model of Adolescent Friendship Networks and BMI. In Proceedings of the ASE BigData & SocialInformatics 2015 (ASE BD&SI '15). ACM, New York, NY, USA, Article 18. DOI: http://dx.doi.org/10.1145/2818869.2818917

  • Lin Yu, Wenbin Lu and Danyang Huang (2018). Modeling and estimation of contagion-based social network dependence with time-to-event data. Statistica Sinica DOI: https://doi.org/10.5705/ss.202018.0222.

  • Zhengang Zhang and Taiye Luo (2020). Network capital, exploitative and exploratory innovations--from theperspective of network dynamics. Technological Forecasting and Social Change, 152, 1-9. DOI: https://doi.org/10.1016/j.techfore.2020.119910

  • Xin Zhang, Eva M. Pomerantz, Lili Qin, Handrea Logis, Allison M. Ryan and Meifang Wang (2019). Early adolescent social status and academic engagement: Selection and influence processes in the United States and China. Journal of Educational Psychology, 111(7), 1300-1316. DOI: https://doi.org/10.1037/edu0000333.

  • Jun Zhang, David A. Shoham, Eric Tesdahl, and Sabina B. Gesell (2015). Network Interventions on Physical Activity in an Afterschool Program: An Agent-Based Social Network Study. American Journal of Public Health 105, No. S2, S236-S243. DOI: http://dx.doi.org/10.2105/AJPH.2014.302277

  • Gennady Zavyalov (2018). Analyzing the Dynamic Interdependence of Network Structure and Performance in Board Interlocks. Chapter 4: Performance Implications of Board Interlocks.

  • PhD Thesis UiS no. 414, University of Stavanger.

  • Franziska Zuber (2015). Spread of Unethical Behavior in Organizations: A Dynamic Social Network Perspective. Journal of Business Ethics 131, 151-172. DOI: http://dx.doi.org/10.1007/s10551-014-2270-0

Articles about two-mode networks (most of these are about co-evolution of a one-mode and a two-mode network, hence multivariate)

  • jimi adams, David R. Schaefer and Andrea Vest Ettikal (2020). Crafting mosaics: Person-centered religious influence and selection in adolescent friendships. Journal for the Scientific Study of Religion DOI: https://doi.org/10.1111/jssr.12638.

  • Viviana Amati, Alessandro Lomi, Daniele Mascia, and Francesca Pallotti (2019). The Co-evolution of Organizational and Network Structure: The Role of Multilevel Mixing and Closure Mechanisms. Organizational Research Methods, in press. DOI: https://doi.org/10.1177/1094428119857469

  • Richard A. Benton (2016). Corporate governance and nested authority: Cohesive network structure, actor-driven mechanisms, and the balance of power in American corporations. American Journal of Sociology, 122, 661-713. DOI: https://doi.org/10.1086/689397

  • Note: this article contains a study of the co-evolution of a two-mode network (firms by directors) and 'behavior' (governance index).

  • Guido Conaldi, Alessandro Lomi and Marco Tonellato (2012). Dynamic models of affiliation and the network structure of problem solving in an open source software project. Organizational Research Methods, 15, 385-412. DOI: http://dx.doi.org/10.1177/1094428111430541.

  • Christina L. Davis and Tyler Pratt (2016). The Forces of Attraction: How Security Interests Shape Membership in Economic Institutions. Paper presented at the Annual Meeting of the American Political Science Association, September 3, 2016.

  • https://scholar.princeton.edu/sites/default/files/tylerpratt/files/davispratt_apsa.pdf

  • Thomas N. Friemel (2015). Influence Versus Selection: A Network Perspective on Opinion Leadership. International Journal of Communication, 9, 1002-1022.

  • Kayo Fujimoto, Tom A.B. Snijders, and Thomas W. Valente (2018). Multivariate dynamics of one-mode and two-mode networks: Explaining similarity in sports participation among friends. Network Science, 6, 370-395. DOI: http://dx.doi.org/10.1017/nws.2018.11

  • James Hollway, Alessandro Lomi, Francesca Pallotti, and Christoph Stadtfeld (2017). Multilevel social spaces: The network dynamics of organizational fields. Network Science, 5, 187-212. DOI: http://dx.doi.org/10.1017/nws.2017.8

  • Alessandro Lomi, Guido Conaldi, Marco Tonellato (2012). Organized Anarchies and the Network Dynamics of Decision Opportunities in an Open Source Software Project,

  • p. 363-397 in Alessandro Lomi, J. Richard Harrison (ed.), The Garbage Can Model of Organizational Choice: Looking Forward at Forty, Research in the Sociology of Organizations, Volume 36, Emerald Group Publishing. DOI: http://dx.doi.org/10.1108/S0733-558X(2012)0000036017.

  • Alessandro Lomi and Christoph Stadtfeld (2014). Social Networks and Social Settings: Developing a Coevolutionary View. KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie, 66, 395-415. DOI: http://dx.doi.org/10.1007/s11577-014-0271-8.

  • Karolina Milewicz, James Hollway, Claire Peacock, and Duncan Snidal (2018). Beyond Trade: The Expanding Scope of the Nontrade Agenda in Trade Agreements. Journal of Conflict Resolution, 62, 743-773. DOI: http://dx.doi.org/10.1177/0022002716662687

  • Diana Purwitasari, Chastine Fatichah, Surya Sumpeno, Christian Steglich and Mauridhi H. Purnomo (2020). Identifying collaboration dynamics of bipartite author-topic networks with the infuences of interest changes. Scientometrics DOI: https://doi.org/10.1007/s11192-019-03342-2

  • Tom A.B. Snijders, Alessandro Lomi, and Vanina Jasmine Torló (2013). A model for the multiplex dynamics of two-mode and one-mode networks, with an application to employment preference, friendship, and advice. Social Networks, 35, 265-276. DOI: http://dx.doi.org/10.1016/j.socnet.2012.05.005.

  • In Figure 2, Y_{ia} and Y_{ja} should be interchanged.

  • Christoph Stadtfeld, Daniele Mascia, Francesca Pallotti, and Alessandro Lomi (2016). Assimilation and differentiation: A multilevel perspective on organizational and network change. Social Networks, 44, 363-374. DOI: http://dx.doi.org/10.1016/j.socnet.2015.04.010.

  • With differentiation between creation and maintenance of ties.

  • Minghong Xu and Siddhartha Bhattacharyya (2018). Taste transitivity for collaborative filtering: A stochastic network dynamics approach. Decision Sciences, in press. DOI: https://doi.org/10.1111/deci.12347

Articles about multivariate and valued networks

  • Christian Berger and Jan Kornelis Dijkstra (2013). Competition, Envy, or Snobbism? How Popularity and Friendships Shape Antipathy Networks of Adolescents. Journal of Research on Adolescence, 23, 486-495. DOI: http://dx.doi.org/10.1111/jora.12048

  • A paper about a stochastic actor-based model not using Siena:

  • Federico Bianchi, Andreas Flache, and Flaminio Squazzoni (2020). Solidarity in collaboration networks when everyone competes for the strongest partner: a stochastic actor-based simulation model. Journal of Mathematical Sociology, in press. DOI: http://dx.doi.org/10.1080/0022250X.2019.1704284

  • Zsófia Boda (2018). Social Influence on Observed Race. Sociological Science, 5, 29-57. DOI: http://dx.doi.org/10.15195/v5.a3

  • Multivariate and also multilevel (uses sienaBayes).

  • Andrea Fronzetti Colladon, Francesca Grippa, Elisa Battistoni, Peter Gloor and Agostino La Bella (2017). What Makes You Popular: Beauty, Personality or Intelligence? International Journal of Entrepreneurship and Small Business, 35(2), 162-186.

  • http://www.ickn.org/documents/WMYP_IJESB.pdf

  • Joao R. Daniel, Antonio J. Santos, Marta Antunes, Marilia Fernandes, Brian E. Vaughn (2016). Co-evolution of Friendships and Antipathies: A Longitudinal Study of Preschool Peer Groups. Frontiers in Psychology, 7: 1509. DOI: http://doi.org/10.3389/fpsyg.2016.10509

  • Duy Dang-Pham, Karlheinz Kautz, Siddhi Pittayachawan and Vince Bruno (2019). Explaining the development of information security climate and an information security support network: A longitudinal social network analysis. Australasian Journal of Information Systems, 23, 1-28. DOI: https://doi.org/10.3127/ajis.v23i0.1822.

  • Lea Ellwardt, Christian Steglich, and Rafael Wittek (2012). The co-evolution of gossip and friendship in workplace social networks. Social Networks, 34, 632-633. DOI: http://dx.doi.org/10.1016/j.socnet.2012.07.002

  • Timon Elmer (2019). The intertwined dynamics of social networks and mental health. ETH Zürich Research Collection DOI: https://doi.org/10.3929/ethz-b-000387447

  • Timon Elmer, Zsófia Boda, and Christoph Stadtfeld (2017). The co-evolution of emotional well-being with weak and strong friendship ties. Network Science, 5, 278-307. DOI: https://doi.org/10.1017/nws.2017.20

  • A study about a valued network.

  • Kayo Fujimoto, Tom A.B. Snijders, and Thomas W. Valente (2017). Popularity breeds contempt: The evolution of reputational dislike relations and friendships in high school. Social Networks, 48, 100-109. DOI: http://dx.doi.org/10.1016/j.socnet.2016.07.006

  • Hideki Fujiyama and Kayo Fujimoto (2018). Stochastic actor-oriented models for multiplex conversation-advice network dynamics based on the self-determination theory. Sociological Theory and Methods, 33, 79-93.

  • https://www.jstage.jst.go.jp/article/ojjams/33/1/33_79/_pdf

  • Marloes M.H.G. Hendrickx, Tim Mainhard, Henrike J. Boor-Klip, and Mieke Brekelmans (2017). Our teacher likes you, so I like you: A social network approach to social referencing. Journal of School Psychology, 63, 35-48. DOI: http://doi.org/10.1016/j.jsp.2017.02.004

  • Gijs Huitsing, Tom A.B. Snijders, Marijtje A.J. van Duijn, and René Veenstra (2014). Victims, bullies, and their defenders: a longitudinal study of the coevolution of positive and negative networks. Development and Psychopathology, 26, 645-659. DOI: http://dx.doi.org/10.1017/S0954579414000297

  • Brandon J. Kinne and Jonas B. Bunte (2018). Guns or money? Defense co-operation and bilateral lending as coevolving networks. British Journal of Political Science, in press. DOI: https://doi.org/10.1017/S0007123418000030

  • Alona Labun, Rafael Wittek, and Christian Steglich (2016). The co-evolution of power and friendship networks in an organization. Network Science, 4, 364-384. DOI: http://dx.doi.org/10.1017/nws.2016.7

  • Nyi Nyi Htwe, Seunghoo Lim and Makoto Kakinaka (2019). The coevolution of trade agreements and investment treaties: Some evidence from network analysis. Social Networks, 61, 34-52. DOI: https://doi.org/10.1016/j.socnet.2019.08.005

  • Judit Pál (2016). Status and Negative Ties: A Longitudinal Network Study among Adolescents. PhD thesis, Corvinus University, Budapest.

  • Judit Pál, Christoph Stadtfeld, André Grow, and Károly Takács (2016). Status Perceptions Matter: Understanding Disliking Among Adolescents. Journal of Research on Adolescence, 26, 805-818. DOI: http://dx.doi.org/10.1111/jora.12231

  • Diego Palacios, Jan Kornelis Dijkstra, Cristobal Villalobos, Erneste Trevino, Christian Berger, Mark Huisman and Rene Veenstra (2019). Classroom ability composition and the role of academic performance and school misconduct in the formation of academic and friendship networks. Journal of School Psychology, 74, 58-73. DOI: https://doi.org/10.1016/j.jsp.2019.05.006

  • Diego Palacios, Christian Berger, Bernadette Paula Luengo Kanacri, René Veenstra and Jan Kornelis Dijkstra (2019). The interplay of adolescents' aggression and victimization with friendship and antipathy networks within an educational prosocial intervention. Journal of Youth and Adolescence, in press. DOI: https://doi.org/10.1007/s10964-019-01105-z

  • Birgit Pauksztat (2019). Informal relations and communication about work-related problems in two multilingual crews. Marine Policy, in press. DOI: https://doi.org/10.1016/j.marpol.2019.103767

  • Birgit Pauksztat and Denise Salin (2020). Targets' social relationships as antecedents and consequences of workplace bullying: A social network perspective. Frontiers in Psychology , 10: 3077. DOI: https://doi.org/10.3389/fpsyg.2019.03077

  • J. Ashwin Rambaran, Jan Kornelis Dijkstra, Anke Munniksma, and Antonius H.N. Cillessen (2015). The development of adolescents' friendships and antipathies: A longitudinal multivariate network test of balance theory. Social Networks, 43, 162-176. DOI: http://dx.doi.org/10.1016/j.socnet.2015.05.003

  • Ashwin Rambaran, Jan Kornelis Dijkstra and Rene Veenstra (2019). Bullying as a group process in childhood: A longitudinal social network analysis. Child Development, in press. DOI: https://doi.org/10.1111/cdev.13298

  • Tom A.B. Snijders, Alessandro Lomi, and Vanina Jasmine Torló (2013). A model for the multiplex dynamics of two-mode and one-mode networks, with an application to employment preference, friendship, and advice. Social Networks, 35, 265-276. DOI: http://dx.doi.org/10.1016/j.socnet.2012.05.005

  • In Figure 2, Y_{ia} and Y_{ja} should be interchanged.

  • Christoph Stadtfeld, András Vörös, Timon Elmer, Zsófia Boda, and Isabel J. Raabe (2019). Integration in emerging social networks explains academic failure and success. Proceedings of the National Academy of Sciences, 116 (3), 792-797. DOI: https://doi.org/10.1073/pnas.1811388115

  • With a beautiful visualization.

  • Lisa Thiele, Nils C. Sauer, Martin Atzmueller and Simone Kauffeld (2018). The co-evolution of career aspirations and peer relationships in psychology bachelor students: A longitudinal social network study. Journal of Vocational Behavior, 106, 48-61. DOI: https://doi.org/10.1016/j.jvb.2017.12.005

  • Vanina J. Torló and Alessandro Lomi (2017). The Network Dynamics of Status: Assimilation and Selection. Social Forces, 96, 389-422. DOI: https://doi.org/10.1093/sf/sox040

  • Rozemarijn van der Ploeg, Christian Steglich and Rene Veenstra (2019). The way bullying works: How new ties facilitate the mutual reinforcement of status and bullying in elementary schools. Social Networks, in press. DOI: https://doi.org/10.1016/j.socnet.2018.12.006

  • Loes G.M. van Rijsewijk, Tom A.B. Snijders, Jan Kornelis Dijkstra, Christian E.G. Steglich, and René Veenstra (2020). The Interplay Between Adolescents' Friendships and the Exchange of Help: A Longitudinal Multiplex Social Network Study. Journal of Research on Adolescence, 30, 63-77.

  • (Uses sienaBayes) DOI: https://doi.org/10.1111//jora.12501

Articles about exponential random graph models

  • Chu-Shore, Jesse (2010). Homogenization and specialization effects of international trade: are cultural goods exceptional? World Development 38, 37-47. DOI: http://dx.doi.org/10.1016/j.worlddev.2009.06.001.
  • Lea Ellwardt, Giuseppe (Joe) Labianca, and Rafael Wittek (2012). Who are the objects of positive and negative gossip at work?: A social network perspective on workplace gossip. Social Networks, 34, 193-205. DOI: http://dx.doi.org/10.1016/j.socnet.2011.11.003
  • Richard C. Feiock, In Won Lee, Hyung Jun Park and Keon-Hyung Lee (2010). Collaboration Networks Among Local Elected Officials: Information, Commitment, and Risk Aversion. Urban Affairs Review, 46, 241-262. DOI: http://dx.doi.org/10.1177/1078087409360509
  • Janna Fortuin, Mitch Van Geel, Aleš Žiberna, and Paul Vedder (2014). Ethnic preferences in friendships and casual contacts between majority and minority children in the Netherlands. International Journal of Intercultural Relations, 41, 57-65. DOI: http://dx.doi.org/10.1016/j.ijintrel.2014.05.005
  • Sandra Gonzalez-Bailon (2009). Opening the Black Box of Link Formation: Social Factors Underlying the Structure of the Web, Social Networks, 31, 271-280.
  • Adam Douglas Henry, Mark Lubell, and Michael McCoy (2010). Belief Systems and Social Capital as Drivers of Policy Network Structure: The Case of California Regional Planning. Journal of Public Administration Research and Theory, 21, 419-444. DOI: http://dx.doi.org/10.1093/jopart/muq042
  • Kyujin Jung, Kenneth Chilton and Jesus N. Valero (2017). Uncovering stakeholders in public-private relations on social media: a case study of the 2015 Volkswagen scandal. Quality & Quantity, 51, 1113-1131. DOI: https://doi.org/10.1007/s11135-016-0462-7
  • Youngmi Lee, In Won Lee, and Richard C. Feiock (2012). Interorganizational Collaboration Networks in Economic Development Policy: An Exponential Random Graph Model Analysis. Policy Studies Journal 40, 547-573. DOI: http://dx.doi.org/10.1111/j.1541-0072.2012.00464.x
  • Lubbers, Miranda J., and Snijders, Tom A.B. (2007), A comparison of various approaches to the exponential random graph model: A reanalysis of 102 student networks in school classes. Social Networks 29, 489-507.
  • Kyujin Jung, Se Jung Park, Wei-Ning Wu, and Han Woo Park (2015), A webometric approach to policy analysis and management using exponential random graph models. Quality & Quantity, 49, 581-598. DOI: http://dx.doi.org/10.1007/s11135-014-0010-2
  • Birgit Pauksztat, Christian Steglich, and Rafael Wittek (2011), Who speaks up to whom? A relational approach to employee voice. Social Networks 33, 303-316. DOI: http://dx.doi.org/10.1016/j.socnet.2011.10.001
  • Miha Škerlavaj, Vlado Dimovski, and Kevin C. Desouza (2010). Patterns and structures of intra-organizational learning networks within a knowledge-intensive organization. Journal of Information Technology, 25, 189-204. DOI: http://dx.doi.org/10.1057/jit.2010.3.
  • Paul W. Thurner and Martin Binder (2009), European Union transgovernmental networks: The emergence of a new political space beyond the nation-state? European Journal of Political Research, 48, 80-106. DOI: http://dx.doi.org/10.1111/j.1475-6765.2008.00825.x
  • Ruud van der Horst, Tom Snijders, Beate Völker, and Marinus Spreen (2010). Social Interaction Related to the Functioning of Forensic Psychiatric Inpatients. Journal of Forensic Psychology Practice, 10, 339-359. DOI: http://dx.doi.org/10.1080/15228932.2010.481238
  • Paola Zappa (2011). The network structure of knowledge sharing among physicians. Quality and Quantity, 45, 1109-1126. DOI: http://dx.doi.org/10.1007/s11135-011-9494-1

In Chinese: Dynamics of networks and behavior.

  • Ming-Yi Chang and Chyi-In Wu (2013). Who benefits most from friendship? Dynamics of adolescent friendship network and academic performance. Taiwanese Sociology, 26, 97-146.
  • Xiaoping Deng, Chen Xu, Maowei Cheng, and Xiangkui Zhang (2017). Peer selection and peer influence: A meta-analysis on social network based research on adolescent delinquency. Advances in Psychological Science, 25 (11): 1898-1909. DOI: http://dx.doi.org/10.3724/SP.J.1042.2017.01898
  • Can Wang and Xijin Tang (2018). Study of College Students' Friendships by Stochastic Actor-Oriented Models and iView Analysis. Journal of Systems Science and Mathematical Sciences, 38, 163-176.

In Dutch: Dynamics of networks and behavior.

  • Ruben de Cuyper, Frank Weerman en Stijn Ruiter (2009), De co-evolutie van vriendschapsrelaties en delinquent gedrag onder Nederlandse jongeren. Mens en Maatschappij, 84, 300-328.
  • Lydia Laninga-Wijnen, Zeena Harakeh, Christian Steglich, Jan K. Dijkstra, René Veenstra, and Wilma Vollebergh (2017). Populaire jongeren zetten een norm voor vriendschappen en agressie in de klas. Kind en adolescent, 38.4, 212-232. DOI: https://doi.org/10.1007/s12453-017-0160-9

In French: Dynamics of networks

  • Emmanuel Lazega, Lise Mounier, Tom Snijders, et Paola Tubaro (2008), Réseaux et controverses: de l'effet des normes sur la dynamique des structures.

  • Revue Française de Sociologie, 49, 467-498.

  • In French: exponential random graph models

  • Christophe Boschet and Tina Rambonilaza (2010), Les mécanismes de coordination dans les réseaux sociaux : un cadre analytique de la dynamique territoriale.

  • Economie régionale et urbaine (3/2010), 569-593.

In Hungarian: Dynamics of multivariate networks.

  • Dorottya Kisfalusi and Károly Takács (2018). A pletyka és a reputáció összefüggései középiskolai osztályközösségekben. Szociológiai Szemle, 28(1), 83-104.
  • http://real.mtak.hu/80872/1/83_104.pdf

In Russian: Dynamics of networks and behavior.

  • Sofia Dokuka, Diliara Valeeva, and Maria Yudkevich (2015). Co-Evolution of Social Networks and Student Performance. Educational Studies, Higher School of Economics, issue 3, pages 44-65.
  • http://dx.doi.org/10.17323/1814-9545-2015-3-44-65.
  • Sofia V. Dokuka, Diliara R. Valeeva, and Maria M. Yudkevich (2016). The assimilation of academic performance: coevolution of social networks and academic achievements. V XVI April scientific conference on economic and society problems. Vol. 4 (pp. 571-580). NRU HSE publishing House.

In Spanish: Dynamics of networks

  • Chris Baerveldt, Gerhard G. van de Bunt, Ainhoa de Federico (2010), Cómo y por qué los modelos de selección difieren entre estudiantes. La influencia potencial de los tamaños de la red, el nivel de información y la pertenencia a grupos . REDES Vol. 19, p. 272-300.
  • This is not an empirical application, but a theoretical study relevant to model selection.
  • Also available in English; see above.
  • de Federico de la Rua, Ainhoa, La dinamica de las redes de amistad. La eleccion de amigos en el programa Erasmus. REDES 4.3, (June 2003).
  • http://revista-redes.rediris.es
  • Julio Díaz-José, Roberto Rendón-Medel, Jorge Aguilar-Ávila, Manrrubio Muñoz-Rodríguez (2013). Análisis dinámico de redes en la difusión de innovaciones agrícolas Revista Mexicana de Ciencias Agrícolas, 4(7), 1095-1102.
  • This article was published simultaneously in a Spanish and an English version.
  • Isidro Maya Jariego, Daniel Holgado Ramos and Miranda J. Lubbers (2018) Efectos de la estructura de las redes personales en la red sociocentrica de una cohorte de estudiantes en transicion de la ensenanza secundaria a la universidad. Universitas Psychological, 17(1), 1-12. DOI: https://doi.org/10.11144/Javeriana.upsy17-1.eerp.

In Spanish: Dynamics of networks and behavior

  • Diego Palacios and Christian Berger (2015). Are good students desirable friends? Evidence for friendship selection among elementary students / ¿Son los buenos estudiantes amigos deseables? Evidencia para la selección de amistad entre estudiantes de educación primaria. Estudios de Psicología: Studies in Psychology, 36, 496-508. DOI: http://dx.doi.org/10.1080/02109395.2015.1028729.
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