Team Science

Wang Cheng-Jun edited this page Dec 19, 2016 · 1 revision

计算传播学是计算社会科学的重要分支。它主要关注人类传播行为的可计算性基础,以传播网络分析、传播文本挖掘、数据科学等为主要分析工具,(以非介入地方式)大规模地收集并分析人类传播行为数据,挖掘人类传播行为背后的模式和法则,分析模式背后的生成机制与基本原理,可以被广泛地应用于数据新闻和计算广告等场景,注重编程训练、数学建模、可计算思维。

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Nancy J. Cooke and Margaret L. Hilton (Eds). "Enhancing the Effectiveness of Team Science." 2015 https://www.nap.edu/catalog/19007/enhancing-the-effectiveness-of-team-science

As a member of the National Research Council Committee on the Science of Team Science, co-authored a 2015 report along with Nancy J. Cooke (Chair), Roger D. Blandford, Jonathon N. Cummings, Stephen M. Fiore, Kara L. Hall, James S. Jackson, John L. King, Steven W. J. Kozlowski, Judith S. Olson, Jeremy A. Sabloff, Daniel S. Stokols, and Hannah Valantine, 2015.

Table of Contents

Effective team size

illusion of team size, the core team does not really increase.

不同team size的team的leader在每个月lead的概率。

<math>H = \sum_{i = 1}^{M} f_i log_2 f_i </math>

<math>f_i = w_i / W </math>

Github Research

Brian Uzzi

http://www.kellogg.northwestern.edu/faculty/uzzi/htm/bio.htm

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  • Börner, Katy, Noshir Contractor, Holly Falk-Krzesinski, Stephen Fiore, Kara Hall, Joann Keyton, Bonnie Spring, Daniel Stokols, William Trochim and Brian Uzzi. "A Multi-Level Systems Perspective for the Science of Team Science," Science Translational Medicine, 2010, Volume 2, Issue 49.
  • Falk-Krzesinski, Holly, Katy Börner, Noshir Contractor, Stephen M. Fiore, Kara L. Hall, Joann Keyton, Bonnie Spring, Daniel Stokols, William Trochim, and Brian Uzzi. "Advancing the Science of Team Science," CTS JOURNAL, Vol 3 (5), 2010.
  • Jones, Ben, Stefan Wuchty, and Brian Uzzi. "Multi-university Research Teams: Shifting Impact, Geography, and Stratification in Science," Science, 2008, 322: 1259-1262
  • Wuchty, Stefan, Ben Jones, and Brian Uzzi. "Science Commentary: Why Do Team-Authored Papers Get Cited More?" Science, September 2007, 317: 1496-1498
  • Wuchty, Stefan, Ben Jones, and Brian Uzzi. "The Increasing Dominance of Teams in the Production of Knowledge," Science, May 2007, 316:1036-1039.
  • Guimera, Roger, Brian Uzzi, Jarrett Spiro, and Luis A. Nunes Amaral. "Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance," Science, 2005, 308:697-702.
  • Uzzi, Brian. " Great Leaders Can Think Like Each Member of Their Team." Harvard Business Review, July 2015.

Dashun Wang

http://dashunwang.com/

  • The story of your big hit: Quantifying patterns of scientific excellence. Roberta Sinatra, Dashun Wang, Pierre Deville, Chaoming Song, and Albert-László Barabási
  • Career on the Move: Geography, Stratification, and Scientific Impact. Pierre Deville, Dashun Wang, Roberta Sinatra, Chaoming Song, Vincent Blondel, and Albert-László Barabási Scientific Reports, 4: 4770 (2014)
  • Quantifying Long-term Scientific Impact. Dashun Wang†, Chaoming Song†, and Albert-László Barabási Science, 342, 6154 (2013): 127-132.
  • Handful of papers dominates citation. Albert-László Barabási, Chaoming Song, and Dashun Wang Nature, 491.7422 (2012): 40-40.

Jim Bagrow

http://www.bagrow.com/

  • Understanding the group dynamics and success of teams, M. Klug and J. P. Bagrow, R. Soc. open sci 3: 160007 (2016)
  • How Famous is a Scientist? -- Famous to Those Who Know Us, J. P. Bagrow, H. D. Rozenfeld, E. M. Bollt and D. ben-Avraham, Europhysics Letters, 67: 511 (2004)