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uictest.bib
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uictest.bib
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@BOOK{knuth:tex,
AUTHOR = "Donald E. Knuth",
TITLE = "The {\TeX} Book",
PUBLISHER = {Addison-Wesley},
YEAR = "1984",
ADDRESS = {Reading, Massachusetts},
NOTE = {Reprinted as Vol. A of {\itshape Computers \& Typesetting\/}, 1986}
}
@BOOK{knuth:pgm,
AUTHOR = "Donald E. Knuth",
TITLE = "{\TeX}: The Program",
PUBLISHER = {Addison-Wesley},
YEAR = "1986",
VOLUME = {B},
SERIES = {Computers \& Typesetting},
ADDRESS = {Reading, Massachusetts}
}
@TECHREPORT{knuth:web,
AUTHOR = {Donald E. Knuth},
TITLE = {The {WEB} System for Structured Documentation, Version 2.3},
INSTITUTION = {Computer Science Department, Stanford University},
YEAR = {1983},
NUMBER = {STAN-CS-83-980},
ADDRESS = {Stanford, California},
MONTH = Sep
}
@ARTICLE{knuth:lp,
AUTHOR = {Donald E. Knuth},
TITLE = {Literate Programming},
JOURNAL = {The Computer Journal},
YEAR = {1984},
VOLUME = {27},
NUMBER = {2},
PAGES = {97--111},
MONTH = May
}
@TECHREPORT{knuth:tor,
AUTHOR = {Donald E. Knuth},
TITLE = {A Torture Test for {\TeX}, Version 1.3},
INSTITUTION = {Computer Science Department, Stanford University},
YEAR = {1984},
NUMBER = {STAN-CS-84-1027},
ADDRESS = {Stanford, California},
MONTH = Nov
}
@ARTICLE{furuta:pctex,
AUTHOR = "Richard K. Furuta and Pierre A. MacKay",
TITLE = "Two {\TeX} Implementations for the {IBM PC}",
JOURNAL = "Dr. Dobb's Journal",
YEAR = "1985",
VOLUME = "10",
NUMBER = "9",
PAGES = "80--91",
MONTH = Sep
}
@TECHREPORT{des:tex,
AUTHOR = {Jacques D{\'e}sarm{\'e}nien},
TITLE = {How to Run {\TeX} in French},
INSTITUTION = {Computer Science Department, Stanford University},
YEAR = {1984},
NUMBER = {SATN-CS-1013},
ADDRESS = {Stanford, California},
MONTH = Aug
}
@TECHREPORT{samuel:tex,
AUTHOR = "Arthur L. Samuel",
TITLE = "First Grade {\TeX}: A Beginner's {\TeX} Manual",
INSTITUTION = {Computer Science Department, Stanford University},
YEAR = "1983",
NUMBER = "SATN-CS-83-985",
ADDRESS = {Stanford, California},
MONTH = Nov
}
@BOOK{lamport:latex,
AUTHOR = {Leslie Lamport},
TITLE = {{\LaTeX}: A Document Preparation System. User's Guide and
Reference Manual},
PUBLISHER = {Addison-Wesley},
YEAR = {1986},
ADDRESS = {Reading, Massachusetts}
}
@BOOK{spivak:ams,
AUTHOR = {Michael D. Spivak},
TITLE = {The Joy of {\TeX}},
PUBLISHER = {American Mathematical Society},
YEAR = {1985}
}
@MANUAL{patashnik:bibtex,
TITLE = "Bib{\TeX}ing",
AUTHOR = "Oren Patashnik",
ORGANIZATION = {Computer Science Department, Stanford University},
ADDRESS = {Stanford, California},
MONTH = jan,
YEAR = "1988",
NOTE = {Available in the Bib{\TeX} release}
}
@MANUAL{patashnik:bibhax,
TITLE = {Designing Bib{\TeX} Styles},
AUTHOR = {Oren Patashnik},
ORGANIZATION = {Computer Science Department, Stanford University},
MONTH = jan,
YEAR = {1988}
}
@ARTICLE{fuchs:dvi0,
AUTHOR = "David Fuchs",
TITLE = "The Format of {\TeX}'s {DVI} Files Version 1",
JOURNAL = "TUGboat",
YEAR = "1981",
VOLUME = "2",
NUMBER = "2",
PAGES = "12--16",
MONTH = Jul
}
@ARTICLE{fuchs:dvi,
AUTHOR = "David Fuchs",
TITLE = "Device Independent File Format",
JOURNAL = "TUGboat",
YEAR = "1982",
VOLUME = "3",
NUMBER = "2",
PAGES = "14--19",
MONTH = Oct
}
@incollection{NIPS2016_6181,
title = {Learning Influence Functions from Incomplete Observations},
author = {He, Xinran and Xu, Ke and Kempe, David and Liu, Yan},
booktitle = {Advances in Neural Information Processing Systems 29},
editor = {D. D. Lee and M. Sugiyama and U. V. Luxburg and I. Guyon and R. Garnett},
pages = {2073--2081},
year = {2016},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/6181-learning-influence-functions-from-incomplete-observations.pdf}
}
@inproceedings{TraitsLeader17,
author={Amornbunchornvej, Chainarong and Crofoot, Margaret C and Berger-Wolf, Tanya Y},
booktitle={ASONAM'17},
title={Identifying Traits of Leaders in Movement Initiation},
year={2017},
pages={660--666},
month={July}
}
@inproceedings{flicaMilets,
author={Amornbunchornvej, Chainarong and Brugere, Ivan and Strandburg-Peshkin, Ariana and Farine, Damien and Crofoot, Margaret C and Berger-Wolf, Tanya Y},
booktitle={SIGKDD Workshop on Mining and Learning from Time Series (MiLeTS 2017)},
title={Coordination Event Detection and Initiator Identification in Time Series Data},
pages={1-9},
year={2017},
month={August},
}
@article {Sanchez-Amaro20170259,
author = {S{\'a}nchez-Amaro, Alejandro and Duguid, Shona and Call, Josep and Tomasello, Michael},
title = {Chimpanzees, bonobos and children successfully coordinate in conflict situations},
volume = {284},
number = {1856},
year = {2017},
doi = {10.1098/rspb.2017.0259},
publisher = {The Royal Society},
abstract = {Social animals need to coordinate with others to reap the benefits of group-living even when individuals{\textquoteright} interests are misaligned. We compare how chimpanzees, bonobos and children coordinate their actions with a conspecific in a Snowdrift game, which provides a model for understanding how organisms coordinate and make decisions under conflict. In study 1, we presented pairs of chimpanzees, bonobos and children with an unequal reward distribution. In the critical condition, the preferred reward could only be obtained by waiting for the partner to act, with the risk that if no one acted, both would lose the rewards. Apes and children successfully coordinated to obtain the rewards. Children used a {\textquoteleft}both-partner-pull{\textquoteright} strategy and communicated during the task, while some apes relied on an {\textquoteleft}only-one-partner-pulls{\textquoteright} strategy to solve the task, although there were also signs of strategic behaviour as they waited for their partner to pull when that strategy led to the preferred reward. In study 2, we presented pairs of chimpanzees and bonobos with the same set-up as in study 1 with the addition of a non-social option that provided them with a secure reward. In this situation, apes had to actively decide between the unequal distribution and the alternative. In this set-up, apes maximized their rewards by taking their partners{\textquoteright} potential actions into account. In conclusion, children and apes showed clear instances of strategic decision-making to maximize their own rewards while maintaining successful coordination.},
issn = {0962-8452},
URL = {http://rspb.royalsocietypublishing.org/content/284/1856/20170259},
eprint = {http://rspb.royalsocietypublishing.org/content/284/1856/20170259.full.pdf},
journal = {Proceedings of the Royal Society of London B: Biological Sciences}
}
@article{10.1371/journal.pcbi.1002961,
author = {Mann, Richard P. AND Perna, Andrea AND Strömbom, Daniel AND Garnett, Roman AND Herbert-Read, James E. AND Sumpter, David J. T. AND Ward, Ashley J. W.},
journal = {PLOS Computational Biology},
publisher = {Public Library of Science},
title = {Multi-scale Inference of Interaction Rules in Animal Groups Using Bayesian Model Selection},
year = {2013},
month = {03},
volume = {9},
url = {https://doi.org/10.1371/journal.pcbi.1002961},
pages = {1-13},
abstract = {Author Summary The collective movement of animals in a group is an impressive phenomenon whereby large scale spatio-temporal patterns emerge from simple interactions between individuals. Theoretically, much of our understanding of animal group motion comes from models inspired by statistical physics. In these models, animals are treated as moving (self-propelled) particles that interact with each other according to simple rules. Recently, researchers have shown greater interest in using experimental data to verify which rules are actually implemented by a particular animal species. In our study, we present a rigorous selection between alternative models inspired by the literature for a system of glass prawns. We find that the classic theoretical models do not accurately predict either the fine scale or large scale behaviour of the system. Instead, individual animals appear to be interacting even when completely separated from each other. To resolve this we introduce a new class of models wherein prawns ‘remember‚ their previous interactions, integrating their experiences over time when deciding to change behaviour. These show that the fine scale and large scale behaviour of the prawns is consistent with interactions only between individuals who are close together.},
number = {3},
doi = {10.1371/journal.pcbi.1002961}
}
@article {Farine20162243,
author = {Farine, D. R. and Strandburg-Peshkin, A. and Couzin, I. D. and Berger-Wolf, T. Y. and Crofoot, M. C.},
title = {Individual variation in local interaction rules can explain emergent patterns of spatial organization in wild baboons},
volume = {284},
number = {1853},
year = {2017},
doi = {10.1098/rspb.2016.2243},
publisher = {The Royal Society},
abstract = {Researchers have long noted that individuals occupy consistent spatial positions within animal groups. However, an individual{\textquoteright}s position depends not only on its own behaviour, but also on the behaviour of others. Theoretical models of collective motion suggest that global patterns of spatial assortment can arise from individual variation in local interaction rules. However, this prediction remains untested. Using high-resolution GPS tracking of members of a wild baboon troop, we identify consistent inter-individual differences in within-group spatial positioning. We then apply an algorithm that identifies what number of conspecific group members best predicts the future location of each individual (we call this the individual{\textquoteright}s neighbourhood size) while the troop is moving. We find clear variation in the most predictive neighbourhood size, and this variation relates to individuals{\textquoteright} propensity to be found near the centre of their group. Using simulations, we show that having different neighbourhood sizes is a simple candidate mechanism capable of linking variation in local individual interaction rules{\textemdash}in this case how many conspecifics an individual interacts with{\textemdash}to global patterns of spatial organization, consistent with the patterns we observe in wild primates and a range of other organisms.},
issn = {0962-8452},
URL = {http://rspb.royalsocietypublishing.org/content/284/1853/20162243},
eprint = {http://rspb.royalsocietypublishing.org/content/284/1853/20162243.full.pdf},
journal = {Proceedings of the Royal Society of London B: Biological Sciences}
}
@inproceedings{Yu:2010:CDM:1838186.1838192,
author={Yu, Chih-Han and Werfel, Justin and Nagpal, Radhika},
booktitle={AAMAS'10},
title={Collective Decision-making in Multi-agent Systems by Implicit Leadership},
year={2010},
pages={1189--1196},
month={May}
}
@ARTICLE{CaoMultiAgent:2013,
author={Y. Cao and W. Yu and W. Ren and G. Chen},
journal={IEEE Transactions on Industrial Informatics},
title={An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination},
year={2013},
volume={9},
number={1},
pages={427-438},
keywords={distributed control;multi-robot systems;control systems;distributed coordination;distributed multiagent coordination;multiple vehicles;robotics journals;systems and control community;unmanned aerial vehicles;unmanned ground vehicles;unmanned underwater vehicles;Algorithm design and analysis;Delay;Delay effects;Heuristic algorithms;Network topology;Vehicle dynamics;Vehicles;Distributed coordination;formation control;multi-agent system;sensor network},
doi={10.1109/TII.2012.2219061},
ISSN={1551-3203},
month={Feb},}
@book{lewis2013cooperative,
title={Cooperative control of multi-agent systems: optimal and adaptive design approaches},
author={Lewis, Frank L and Zhang, Hongwei and Hengster-Movric, Kristian and Das, Abhijit},
year={2013},
publisher={Springer Science \& Business Media}
}
@article{doi:10.1137/100791671,
author = {Bernard Chazelle},
title = {The Total s-Energy of a Multiagent System},
journal = {SIAM Journal on Control and Optimization},
volume = {49},
number = {4},
pages = {1680-1706},
year = {2011},
doi = {10.1137/100791671},
URL = {
https://doi.org/10.1137/100791671
},
eprint = {
https://doi.org/10.1137/100791671
}
}
@article{doi:10.1093/beheco/art090,
author = {Brown, Culum and Irving, Eleanor},
title = {Individual personality traits influence group exploration in a feral guppy population},
journal = {Behavioral Ecology},
volume = {25},
number = {1},
pages = {95},
year = {2014},
doi = {10.1093/beheco/art090},
}
@article {Boydston:2001,
author = {Boydston, Erin E. and Morelli, Toni Lyn and Holekamp, Kay E. },
title = {Sex Differences in Territorial Behavior Exhibited by the Spotted Hyena (Hyaenidae, Crocuta crocuta)},
journal = {Ethology},
volume = {107},
number = {5},
publisher = {Blackwell Science Ltd.},
issn = {1439-0310},
url = {http://dx.doi.org/10.1046/j.1439-0310.2001.00672.x},
doi = {10.1046/j.1439-0310.2001.00672.x},
pages = {369--385},
year = {2001},
}
@article{Stueckle2008,
title = "To follow or not to follow: decision making and leadership during the morning departure in chacma baboons",
journal = "Animal Behaviour",
volume = "75",
number = "6",
pages = "1995 - 2004",
year = "2008",
note = "",
issn = "0003-3472",
doi = "http://dx.doi.org/10.1016/j.anbehav.2007.12.012",
url = "http://www.sciencedirect.com/science/article/pii/S0003347208000857",
author = "Sabine Stueckle and Dietmar Zinner",
keywords = "chacma baboon",
keywords = "collective movement",
keywords = "consensus",
keywords = "decision making",
keywords = "leadership",
keywords = ""
}
@article{Couzin:2005aa,
title={Effective leadership and decision-making in animal groups on the move},
author={Couzin, Iain D and Krause, Jens and Franks, Nigel R and Levin, Simon A},
journal={Nature},
volume={433},
number={7025},
pages={513--516},
year={2005},
publisher={Nature Publishing Group}
}
@Inbook{Sun2011,
author="Sun, Jimeng
and Tang, Jie",
editor="Aggarwal, Charu C.",
title="A Survey of Models and Algorithms for Social Influence Analysis",
bookTitle="Social Network Data Analytics",
year="2011",
publisher="Springer US",
address="Boston, MA",
pages="177--214",
abstract="Social influence is the behavioral change of a person because of the perceived relationship with other people, organizations and society in general. Social influence has been a widely accepted phenomenon in social networks for decades. Many applications have been built based around the implicit notation of social influence between people, such as marketing, advertisement and recommendations. With the exponential growth of online social network services such as Facebook and Twitter, social influence can for the first time be measured over a large population. In this chapter, we survey the research on social influence analysis with a focus on the computational aspects. First, we present statistical measurements related to social influence. Second, we describe the literature on social similarity and influences. Third, we present the research on social influence maximization which has many practical applications including marketing and advertisement.",
isbn="978-1-4419-8462-3",
doi="10.1007/978-1-4419-8462-3_7",
url="http://dx.doi.org/10.1007/978-1-4419-8462-3_7"
}
@book{LeadershipBook,
title={Leadership: Theory and practice},
author={Northouse, Peter G},
year={2016},
publisher={Sage publications}
}
@article{WilsonSocbio,
title={Sociobiology: the new synthesis},
author={Wilson, Edward O},
journal={Philosophy of Biology: An Anthology},
pages={339},
year={2009},
publisher={John Wiley \& Sons}
}
@article{Brent2015746,
title = "Ecological Knowledge, Leadership, and the Evolution of Menopause in Killer Whales",
journal = "Current Biology",
volume = "25",
number = "6",
pages = "746 - 750",
year = "2015",
note = "",
issn = "0960-9822",
doi = "http://dx.doi.org/10.1016/j.cub.2015.01.037",
url = "http://www.sciencedirect.com/science/article/pii/S096098221500069X",
author = "Lauren J.N. Brent and Daniel W. Franks and Emma A. Foster and Kenneth C. Balcomb and Michael A. Cant and Darren P. Croft",
}
@article {Strandburg-Peshkin1358,
author = {Strandburg-Peshkin, Ariana and Farine, Damien R. and Couzin, Iain D. and Crofoot, Margaret C.},
title = {Shared decision-making drives collective movement in wild baboons},
volume = {348},
number = {6241},
pages = {1358--1361},
year = {2015},
doi = {10.1126/science.aaa5099},
publisher = {American Association for the Advancement of Science},
abstract = {How do groups of animals, including humans, make decisions that affect the entire group? Evidence collected from schooling animals suggests that the process is somewhat democratic, with nearest neighbors and the majority shaping overall collective behavior. In animals with hierarchical social structures such as primates or wolves, however, such democracy may be complicated by dominance. Strandburg-Peshkin et al. monitored all the individuals within a baboon troop continuously over the course of their daily activities. Even within this highly socially structured species, movement decisions emerged via a shared process. Thus, democracy may be an inherent trait of collective behavior.Science, this issue p. 1358Conflicts of interest about where to go and what to do are a primary challenge of group living. However, it remains unclear how consensus is achieved in stable groups with stratified social relationships. Tracking wild baboons with a high-resolution global positioning system and analyzing their movements relative to one another reveals that a process of shared decision-making governs baboon movement. Rather than preferentially following dominant individuals, baboons are more likely to follow when multiple initiators agree. When conflicts arise over the direction of movement, baboons choose one direction over the other when the angle between them is large, but they compromise if it is not. These results are consistent with models of collective motion, suggesting that democratic collective action emerging from simple rules is widespread, even in complex, socially stratified societies.},
issn = {0036-8075},
URL = {http://science.sciencemag.org/content/348/6241/1358},
eprint = {http://science.sciencemag.org/content/348/6241/1358.full.pdf},
journal = {Science}
}
@article {Mares3989,
author = {Mares, Rafael and Young, Andrew J. and Clutton-Brock, Tim H.},
title = {Individual contributions to territory defence in a cooperative breeder: weighing up the benefits and costs},
volume = {279},
number = {1744},
pages = {3989--3995},
year = {2012},
doi = {10.1098/rspb.2012.1071},
publisher = {The Royal Society},
abstract = {While investment in territory defence is expected to be influenced by its benefits, the additional role that costs may play is rarely considered. Here, we quantify both benefits and costs of repelling prospecting males in cooperative meerkats, and demonstrate that both are required to explain the substantial variation in individual contributions to the defence observed. Males benefit more from repelling prospectors than females, as males may lose dominance and be expelled during intrusions. Accordingly, males invest the most in repelling prospectors. We also show that males experience an associated cost in the form of reduced weight gain and, as such, heavier males contribute more to chasing prospectors. Finally, we show evidence of a cost not restricted to individuals engaged in chasing: both males and females reduce their contributions to feeding dependent pups when prospectors are present, resulting in a reduction in pup weight gain in this context. Males appear to adjust their contributions to chasing in light of this cost, chasing at lower rates when their group contains dependent young. Our findings support the view that investment in cooperative behaviours can be attributed to benefits and costs, and highlight the additional importance of considering trade-offs in investment between cooperative behaviours.},
issn = {0962-8452},
URL = {http://rspb.royalsocietypublishing.org/content/279/1744/3989},
eprint = {http://rspb.royalsocietypublishing.org/content/279/1744/3989.full.pdf},
journal = {Proceedings of the Royal Society of London B: Biological Sciences}
}
@article{Kendall1938,
ISSN = {00063444},
URL = {http://www.jstor.org/stable/2332226},
author = {M. G. Kendall},
journal = {Biometrika},
number = {1/2},
pages = {81-93},
publisher = {[Oxford University Press, Biometrika Trust]},
title = {A New Measure of Rank Correlation},
volume = {30},
year = {1938}
}
@inproceedings{li2016adversarial,
title={Adversarial Sequence Tagging.},
author={Li, Jia and Asif, Kaiser and Wang, Hong and Ziebart, Brian D and Berger-Wolf, Tanya Y},
booktitle={IJCAI},
pages={1690--1696},
year={2016}
}
@ARTICLE{Sakoe1978,
author={H. Sakoe and S. Chiba},
journal={IEEE Transactions on Acoustics, Speech, and Signal Processing},
title={Dynamic programming algorithm optimization for spoken word recognition},
year={1978},
volume={26},
number={1},
pages={43-49},
keywords={Acoustics;Constraint optimization;Dynamic programming;Feature extraction;Fluctuations;Heuristic algorithms;Pattern matching;Signal processing algorithms;Speech processing;Timing},
doi={10.1109/TASSP.1978.1163055},
ISSN={0096-3518},
month={Feb},}
@article{PETIT2010635,
title = "Decision-making processes: The case of collective movements",
journal = "Behavioural Processes",
volume = "84",
number = "3",
pages = "635 - 647",
year = "2010",
note = "Special section: Collective movements",
issn = "0376-6357",
doi = "http://dx.doi.org/10.1016/j.beproc.2010.04.009",
url = "http://www.sciencedirect.com/science/article/pii/S0376635710001221",
author = "Odile Petit and Richard Bon",
keywords = "Consensus",
keywords = "Inter-individual relationships",
keywords = "Leadership",
keywords = "Self-organization",
keywords = "Social status"
}
@article{HOOPER2010633,
title = "A theory of leadership in human cooperative groups",
journal = "Journal of Theoretical Biology",
volume = "265",
number = "4",
pages = "633 - 646",
year = "2010",
note = "",
issn = "0022-5193",
doi = "http://dx.doi.org/10.1016/j.jtbi.2010.05.034",
url = "http://www.sciencedirect.com/science/article/pii/S0022519310002778",
author = "Paul L. Hooper and Hillard S. Kaplan and James L. Boone",
keywords = "Hierarchy",
keywords = "Leadership",
keywords = "Collective action",
keywords = "Free-rider problem",
keywords = "Social complexity"
}
@article {Glowacki:2015,
author = {Glowacki, Luke and von Rueden, Chris},
title = {Leadership solves collective action problems in small-scale societies},
volume = {370},
number = {1683},
year = {2015},
doi = {10.1098/rstb.2015.0010},
publisher = {The Royal Society},
abstract = {Observation of leadership in small-scale societies offers unique insights into the evolution of human collective action and the origins of sociopolitical complexity. Using behavioural data from the Tsimane forager-horticulturalists of Bolivia and Nyangatom nomadic pastoralists of Ethiopia, we evaluate the traits of leaders and the contexts in which leadership becomes more institutional. We find that leaders tend to have more capital, in the form of age-related knowledge, body size or social connections. These attributes can reduce the costs leaders incur and increase the efficacy of leadership. Leadership becomes more institutional in domains of collective action, such as resolution of intragroup conflict, where collective action failure threatens group integrity. Together these data support the hypothesis that leadership is an important means by which collective action problems are overcome in small-scale societies.},
issn = {0962-8436},
URL = {http://rstb.royalsocietypublishing.org/content/370/1683/20150010},
eprint = {http://rstb.royalsocietypublishing.org/content/370/1683/20150010.full.pdf},
journal = {Philosophical Transactions of the Royal Society of London B: Biological Sciences}
}
@article {Gilby:2015,
author = {Gilby, Ian C. and Machanda, Zarin P. and Mjungu, Deus C. and Rosen, Jeremiah and Muller, Martin N. and Pusey, Anne E. and Wrangham, Richard W.},
title = {{\textquoteleft}Impact hunters{\textquoteright} catalyse cooperative hunting in two wild chimpanzee communities},
volume = {370},
number = {1683},
year = {2015},
doi = {10.1098/rstb.2015.0005},
publisher = {The Royal Society},
abstract = {Even when hunting in groups is mutually beneficial, it is unclear how communal hunts are initiated. If it is costly to be the only hunter, individuals should be reluctant to hunt unless others already are. We used 70 years of data from three communities to examine how male chimpanzees {\textquoteleft}solve{\textquoteright} this apparent collective action problem. The {\textquoteleft}impact hunter{\textquoteright} hypothesis proposes that group hunts are sometimes catalysed by certain individuals that hunt more readily than others. In two communities (Kasekela and Kanyawara), we identified a total of five males that exhibited high hunt participation rates for their age, and whose presence at an encounter with red colobus monkeys increased group hunting probability. Critically, these impact hunters were observed to hunt first more often than expected by chance. We argue that by hunting first, these males dilute prey defences and create opportunities for previously reluctant participants. This by-product mutualism can explain variation in group hunting rates within and between social groups. Hunting rates declined after the death of impact hunter FG in Kasekela and after impact hunter MS stopped hunting frequently in Kanyawara. There were no impact hunters in the third, smaller community (Mitumba), where, unlike the others, hunting probability increased with the number of females present at an encounter with prey.},
issn = {0962-8436},
URL = {http://rstb.royalsocietypublishing.org/content/370/1683/20150005},
eprint = {http://rstb.royalsocietypublishing.org/content/370/1683/20150005.full.pdf},
journal = {Philosophical Transactions of the Royal Society of London B: Biological Sciences}
}
@inproceedings{Bakshy:2011:EIQ:1935826.1935845,
author = {Bakshy, Eytan and Hofman, Jake M. and Mason, Winter A. and Watts, Duncan J.},
title = {Everyone's an Influencer: Quantifying Influence on Twitter},
booktitle = {Proceedings of the Fourth ACM International Conference on Web Search and Data Mining},
series = {WSDM '11},
year = {2011},
isbn = {978-1-4503-0493-1},
location = {Hong Kong, China},
pages = {65--74},
numpages = {10},
url = {http://doi.acm.org/10.1145/1935826.1935845},
doi = {10.1145/1935826.1935845},
acmid = {1935845},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {communication networks, diffusion, influence, twitter, word of mouth marketing},
}
@article{Song2014crowdmodel,
author = {Wu, Song AND Sun, Quanbin},
journal = {PLOS ONE},
publisher = {Public Library of Science},
title = {Computer Simulation of Leadership, Consensus Decision Making and Collective Behaviour in Humans},
year = {2014},
month = {01},
volume = {9},
url = {https://doi.org/10.1371/journal.pone.0080680},
pages = {1-12},
abstract = {The aim of this study is to evaluate the reliability of a crowd simulation model developed by the authors by reproducing Dyer et al.'s experiments (published in Philosophical Transactions in 2009) on human leadership and consensus decision making in a computer-based environment. The theoretical crowd model of the simulation environment is presented, and its results are compared and analysed against Dyer et al.'s original experiments. It is concluded that the simulation results are largely consistent with the experiments, which demonstrates the reliability of the crowd model. Furthermore, the simulation data also reveals several additional new findings, namely: 1) the phenomena of sacrificing accuracy to reach a quicker consensus decision found in ants colonies was also discovered in the simulation; 2) the ability of reaching consensus in groups has a direct impact on the time and accuracy of arriving at the target position; 3) the positions of the informed individuals or leaders in the crowd could have significant impact on the overall crowd movement; and 4) the simulation also confirmed Dyer et al.'s anecdotal evidence of the proportion of the leadership in large crowds and its effect on crowd movement. The potential applications of these findings are highlighted in the final discussion of this paper.},
number = {1},
doi = {10.1371/journal.pone.0080680}
}
@article{Heinsohn1260,
ISSN = {00368075, 10959203},
URL = {http://www.jstor.org/stable/2888011},
abstract = {Female lions (Panthera leo) showed persistent individual differences in the extent to which they participated in group-territorial conflict. When intergroup encounters were simulated by playback of aggressive vocalizations, some individuals consistently led the approach to the recorded intruder, whereas others lagged behind and avoided the risks of fighting. The lead females recognized that certain companions were laggards but failed to punish them, which suggests that cooperation is not maintained by reciprocity. Modification of the "odds" in these encounters revealed that some females joined the group response when they were most needed, whereas other lagged even farther behind. The complexity of these responses emphasizes the great diversity of individual behavior in this species and the inadequacy of current theory to explain cooperation in large groups.},
author = {Robert Heinsohn and Craig Packer},
journal = {Science},
number = {5228},
pages = {1260-1262},
publisher = {American Association for the Advancement of Science},
title = {Complex Cooperative Strategies in Group-Territorial African Lions},
volume = {269},
year = {1995}
}
@article{Weinstein:1997,
ISSN = {00301299, 16000706},
URL = {http://www.jstor.org/stable/3546887},
abstract = {Australian sawflies in the genus Perga have gregarious larvae which disperse to feed upon Eucalyptus foliage at night. To investigate possible polyethism in the larvae of P. dorsalis, we labelled individuals with oil paints and recorded their positions on consecutive nights. A subgroup of about 20% of the larvae preferentially occupied the outer positions in the resting colony and appeared to lead the foraging expeditions. Marking itself did not induce this leadership behaviour, and leaders were quick to regain outer positions if removed and placed in the centre of the colony. In the context of polyethism in pergid larvae, we discuss the non-viability of small colonies, differential attack rates by parasitoids and predators, petiole-chewing behaviour by leaders, and possible differences in the dispersal behaviour of larvae (in time) and adults (in space).},
author = {P. Weinstein and D. A. Maelzer},
journal = {Oikos},
number = {3},
pages = {450-455},
publisher = {[Nordic Society Oikos, Wiley]},
title = {Leadership Behaviour in Sawfly Larvae Perga dorsalis (Hymenoptera: Pergidae)},
volume = {79},
year = {1997}
}
@article{Conradt:2003aa,
title={Group decision-making in animals},
author={Conradt, Larissa and Roper, Timothy J},
journal={Nature},
volume={421},
number={6919},
pages={155--158},
year={2003},
publisher={Nature Publishing Group}
}
@article{Stewart:1947aa,
title={Lack of correlation between leadership and dominance relationships in a herd of goats.},
author={Stewart, Jeannie C and Scott, JP},
journal={Journal of comparative and physiological psychology},
volume={40},
number={4},
pages={255},
year={1947},
publisher={American Psychological Association}
}
@inproceedings{PhamICDE2016,
author={H. Pham and C. Shahabi},
booktitle={ICDE16},
title={Spatial influence - measuring followship in the real world},
year={2016},
pages={529-540},
doi={10.1109/ICDE.2016.7498268},
month={May}
}
@misc{FLICAwebsite,
title = {FLICA: A Framework for Leader Identification in Coordinated Activity website},
author={Amornbunchornvej, C. and Brugere, I.},
year = 2017,
howpublished ={{ https://uofi.box.com/s/a831rujfflf5cez8xfwks4p7w9gkzq7v}},
note = {Accessed: 2017-05-26}
}
@book{holme2014temporal,
title={Temporal networks},
author={Holme, Petter},
year={2014},
publisher={Springer}
}
@article{jacoby2016inferring,
title={Inferring animal social networks and leadership: applications for passive monitoring arrays},
author={Jacoby, David MP and Papastamatiou, Yannis P and Freeman, Robin},
journal={Journal of The Royal Society Interface},
volume={13},
number={124},
pages={20160676},
year={2016},
publisher={The Royal Society}
}
@article{krause2000leadership,
title={Leadership in fish shoals},
author={Krause, J and Hoare, D and Krause, S and Hemelrijk, CK and Rubenstein, DI},
journal={Fish and Fisheries},
volume={1},
number={1},
pages={82--89},
year={2000},
publisher={Wiley Online Library}
}
@article{malone1994interdisciplinary,
title={The interdisciplinary study of coordination},
author={Malone, Thomas W and Crowston, Kevin},
journal={ACM Computing Surveys (CSUR)},
volume={26},
number={1},
pages={87--119},
year={1994},
publisher={ACM}
}
@article{glowacki2015leadership,
title={Leadership solves collective action problems in small-scale societies},
author={Glowacki, Luke and von Rueden, Chris},
journal={Phil. Trans. R. Soc. B},
volume={370},
number={1683},
pages={20150010},
year={2015},
publisher={The Royal Society}
}
@article{gilby2015impact,
title={‘Impact hunters’ catalyse cooperative hunting in two wild chimpanzee communities},
author={Gilby, Ian C and Machanda, Zarin P and Mjungu, Deus C and Rosen, Jeremiah and Muller, Martin N and Pusey, Anne E and Wrangham, Richard W},
journal={Phil. Trans. R. Soc. B},
volume={370},
number={1683},
pages={20150005},
year={2015},
publisher={The Royal Society}
}
@article{couzin2005effective,
title={Effective leadership and decision-making in animal groups on the move},
author={Couzin, Iain D and Krause, Jens and Franks, Nigel R and Levin, Simon A},
journal={Nature},
volume={433},
number={7025},
pages={513--516},
year={2005},
publisher={Nature Publishing Group}
}
@article{calvert1992leadership,
title={Leadership and its basis in problems of social coordination},
author={Calvert, Randall},
journal={International Political Science Review},
volume={13},
number={1},
pages={7--24},
year={1992},
publisher={Sage Publications}
}
@article{hogg2001social,
title={A social identity theory of leadership},
author={Hogg, Michael A},
journal={Personality and social psychology review},
volume={5},
number={3},
pages={184--200},
year={2001},
publisher={Sage Publications}
}
@article{Smith2015187,
title={Collective movements, leadership and consensus costs at reunions in spotted hyaenas},
author={Smith, Jennifer E and Estrada, Jillian R and Richards, Heather R and Dawes, Stephanie E and Mitsos, Kari and Holekamp, Kay E},
journal={Animal Behaviour},
volume={105},
pages={187--200},
year={2015},
publisher={Elsevier}
}
@article {Dyer:2009aa,
author = {Dyer, John R.G and Johansson, Anders and Helbing, Dirk and Couzin, Iain D and Krause, Jens},
title = {Leadership, consensus decision making and collective behaviour in humans},
volume = {364},
number = {1518},
pages = {781--789},
year = {2009},
doi = {10.1098/rstb.2008.0233},
publisher = {The Royal Society},
abstract = {This paper reviews the literature on leadership in vertebrate groups, including recent work on human groups, before presenting the results of three new experiments looking at leadership and decision making in small and large human groups. In experiment 1, we find that both group size and the presence of uninformed individuals can affect the speed with which small human groups (eight people) decide between two opposing directional preferences and the likelihood of the group splitting. In experiment 2, we show that the spatial positioning of informed individuals within small human groups (10 people) can affect the speed and accuracy of group motion. We find that having a mixture of leaders positioned in the centre and on the edge of a group increases the speed and accuracy with which the group reaches their target. In experiment 3, we use large human crowds (100 and 200 people) to demonstrate that the trends observed from earlier work using small human groups can be applied to larger crowds. We find that only a small minority of informed individuals is needed to guide a large uninformed group. These studies build upon important theoretical and empirical work on leadership and decision making in animal groups.},
issn = {0962-8436},
URL = {http://rstb.royalsocietypublishing.org/content/364/1518/781},
eprint = {http://rstb.royalsocietypublishing.org/content/364/1518/781.full.pdf},
journal = {Philosophical Transactions of the Royal Society of London B: Biological Sciences}
}
@inproceedings{goyal2008discovering,
author = {Goyal, Amit and Bonchi, Francesco and Lakshmanan, Laks V.S.},
title = {Discovering Leaders from Community Actions},
booktitle = {Proceedings of the 17th ACM Conference on Information and Knowledge Management},
series = {CIKM '08},
year = {2008},
isbn = {978-1-59593-991-3},
location = {Napa Valley, California, USA},
pages = {499--508},
numpages = {10},
url = {http://doi.acm.org/10.1145/1458082.1458149},
doi = {10.1145/1458082.1458149},
acmid = {1458149},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {frequent pattern discovery, influence, leadership, social networks, tribes, viral marketing},
}
@inproceedings{He2016maximizing,
title={Robust Influence Maximization},
author={He, Xinran and Kempe, David},
booktitle={Proceedings of the ninth ACM SIGKDD},
pages={1--10},
year={2016},
organization={ACM}
}
@incollection{carmi2013inferring,
title={Inferring leadership from group dynamics using Markov Chain Monte Carlo methods},
author={Carmi, Avishy Y and Mihaylova, Lyudmila and Septier, Fran{\c{c}}ois and Pang, Sze Kim and Gurfil, Pini and Godsill, Simon J},
booktitle={Modeling, Simulation and Visual Analysis of Crowds},
pages={325--346},
year={2013},
publisher={Springer}
}
@article{will2016flock,
title={Flock leadership: Understanding and influencing emergent collective behavior},
author={Will, Thomas E},
journal={The Leadership Quarterly},
volume={27},
number={2},
pages={261--279},
year={2016},
publisher={Elsevier}
}
@article{partialOrder,
ISSN = {00029327, 10806377},
URL = {http://www.jstor.org/stable/2371374},
author = {Ben Dushnik, E. W. Miller},
journal = {American Journal of Mathematics},
number = {3},
pages = {600-610},
publisher = {Johns Hopkins University Press},
title = {Partially Ordered Sets},
volume = {63},
year = {1941}
}
@article{flica,
title={FLICA: A Framework for Leader Identification in Coordinated Activity},
author={Amornbunchornvej, Chainarong and Brugere, Ivan and Strandburg-Peshkin, Ariana and Farine, Damien and Crofoot, Margaret C and Berger-Wolf, Tanya Y},
journal={arXiv preprint arXiv:1603.01570},
year={2016}
}
@article{Wu2014crowdmodel,
title={Computer simulation of leadership, consensus decision making and collective behaviour in humans},
author={Wu, Song and Sun, Quanbin},
journal={PloS one},
volume={9},
number={1},
pages={e80680},
year={2014},
publisher={Public Library of Science}
}
% ======================PhD Level =================================
@article{sakoe1978dynamic,
title={Dynamic programming algorithm optimization for spoken word recognition},
author={Sakoe, Hiroaki and Chiba, Seibi},
journal={IEEE transactions on acoustics, speech, and signal processing},
volume={26},
number={1},
pages={43--49},
year={1978},
publisher={IEEE}
}
@article{dau2016semi,
title={Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping},
author={Dau, Hoang Anh and Keogh, Nurjahan Begum Eamonn},
booktitle={CIKM'16},
year={2016}
}
@inproceedings{doi:10.1137/1.9781611974010.33,
author={Shokoohi-Yekta, M and Wang, J and Keogh, E},
title={On the Non-Trivial Generalization of Dynamic Time Warping to the
Multi-Dimensional Case},
booktitle={SDM'15},
pages={289--297}
}
% ============== SDM 2017 ================
%[1]
@article{andersson2008reporting,
title={Reporting leaders and followers among trajectories of moving point objects},
author={Andersson, Mattias and Gudmundsson, Joachim and Laube, Patrick and Wolle, Thomas},
journal={GeoInformatica},
volume={12},
number={4},
pages={497--528},
year={2008},
publisher={Springer}
}
%[2]
@inproceedings{kjargaard2013time,
title={Time-lag method for detecting following and leadership behavior of pedestrians from mobile sensing data},
author={Kjargaard, Mikkel Baun and Blunck, Henrik and Wustenberg, Markus and Gronbask, Kaj and Wirz, Martin and Roggen, Daniel and Troster, Gerhard},
booktitle={Proceedings of the IEEE PerCom},
pages={56--64},
year={2013},
organization={IEEE}
}
%[3]
@inproceedings{solera2015learning,
title={Learning to identify leaders in crowd},
author={Solera, Francesco and Calderara, Simone and Cucchiara, Rita},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
pages={43--48},
year={2015}
}
%[4]
@techreport{PageRank_Brin1998107,
number = {1999-66},
month = {November},
author = {Lawrence Page and Sergey Brin and Rajeev Motwani and Terry Winograd},
title = {The PageRank Citation Ranking: Bringing Order to the Web.},
type = {Technical Report},
publisher = {Stanford InfoLab},
year = {1999},
institution = {Stanford InfoLab},
url = {http://ilpubs.stanford.edu:8090/422/},
}
%[5]
@article{dumont2005consistency,
title={Consistency of animal order in spontaneous group movements allows the measurement of leadership in a group of grazing heifers},
author={Dumont, B and Boissy, A and Achard, C and Sibbald, AM and Erhard, HW},
journal={Applied Animal Behaviour Science},
volume={95},
number={1},
pages={55--66},
year={2005},
publisher={Elsevier}
}
%[6]
@article{peterson2002leadership,
title={Leadership behavior in relation to dominance and reproductive status in gray wolves, Canis lupus},
author={Peterson, Rolf O and Jacobs, Amy K and Drummer, Thomas D and Mech, L David and Smith, Douglas W},
journal={Canadian Journal of Zoology},
volume={80},
number={8},
pages={1405--1412},
year={2002},
publisher={NRC Research Press}
}
%[7]
@article{stueckle2008follow,
title={To follow or not to follow: decision making and leadership during the morning departure in chacma baboons},
author={Stueckle, Sabine and Zinner, Dietmar},
journal={Animal Behaviour},
volume={75},
number={6},
pages={1995--2004},
year={2008},
publisher={Elsevier}
}
%[8]
@book{le1897crowd,
title={The crowd: A study of the popular mind},
author={Le Bon, Gustave},
year={1897},
publisher={Fischer}
}
%[9]
@inproceedings{goyal2010learning,
title={Learning influence probabilities in social networks},
author={Goyal, Amit and Bonchi, Francesco and Lakshmanan, Laks VS},
booktitle={Proceedings of the third ACM international conference on Web search and data mining},
pages={241--250},
year={2010},
organization={ACM}
}
%[10]
@book{benkert2006reporting,
title={Reporting flock patterns},
author={Benkert, Marc and Gudmundsson, Joachim and H{\"u}bner, Florian and Wolle, Thomas},
year={2006},
publisher={Springer}
}
% [11] ***
@article{keogh2005exact,
title={Exact indexing of dynamic time warping},
author={Keogh, Eamonn and Ratanamahatana, Chotirat Ann},
journal={Knowledge and information systems},
volume={7},
number={3},
pages={358--386},
year={2005},
publisher={Springer}
}
%[12]
@article{ranacher2014compare,
title={How to compare movement? A review of physical movement similarity measures in geographic information science and beyond},
author={Ranacher, Peter and Tzavella, Katerina},
journal={Cartography and Geographic Information Science},
volume={41},
number={3},
pages={286--307},
year={2014},
publisher={Taylor \& Francis}
}
%[13] ***
@article{lemire2009faster,
title={Faster retrieval with a two-pass dynamic-time-warping lower bound},
author={Lemire, Daniel},
journal={Pattern recognition},
volume={42},
number={9},
pages={2169--2180},
year={2009},
publisher={Elsevier}
}
%[14] **
@incollection{jeung2011trajectory,
title={Trajectory pattern mining},
author={Jeung, Hoyoung and Yiu, Man Lung and Jensen, Christian S},
booktitle={Computing with spatial trajectories},
pages={143--177},
year={2011},
publisher={Springer}
}
%[15]
@book{de1903laws,
title={The laws of imitation},
author={De Tarde, Gabriel},
year={1903},
publisher={H. Holt}
}
%[16]
@article{mccomb2011leadership,
title={Leadership in elephants: the adaptive value of age},
author={McComb, Karen and Shannon, Graeme and Durant, Sarah M and Sayialel, Katito and Slotow, Rob and Poole, Joyce and Moss, Cynthia},
journal={Proceedings of the Royal Society of London B: Biological Sciences},
pages={rspb20110168},
year={2011},
publisher={The Royal Society}
}
%[17]
@article{king2008dominance,
title={Dominance and affiliation mediate despotism in a social primate},
author={King, Andrew J and Douglas, Caitlin MS and Huchard, Elise and Isaac, Nick JB and Cowlishaw, Guy},
journal={Current Biology},
volume={18},
number={23},
pages={1833--1838},
year={2008},
publisher={Elsevier}
}
%[18]
@article{maransky2001follow,
title={Follow your elders: Age-related differences in the migration behavior of Broad-winged Hawks at Hawk Mountain Sanctuary, Pennsylvania},
author={Maransky, Bryan P and Bildstein, Keith L},
journal={The Wilson Bulletin},
volume={113},
number={3},
pages={350--353},
year={2001},
publisher={BioOne}
}
%[19]
@article{wright2003communal,
title={Communal roosts as structured information centres in the raven, Corvus corax},