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   Barry Wellman
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                      Faculty of Information (iSchool)
   University of Toronto                          Toronto Canada M5S 3G6
   http://www.chass.utoronto.ca/~wellman          twitter: @barrywellman
                  NSA/CSEC: Canadian and American citizen
   NETWORKED:The New Social Operating System. Lee Rainie & Barry Wellman
   MIT Press            http://amzn.to/zXZg39      Print $14  Kindle $16
                  Old/NewCyberTimes http://bit.ly/c8N9V8
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The Strength of the Strongest Ties in Collaborative Problem Solving

    Complex problem solving in science, engineering, and business has become a highly collaborative endeavor. Teams of scientists or engineers collaborate on projects using their social networks to gather new ideas and feedback. Here we bridge the literature on team performance and information networks by studying teams' problem solving abilities as a function of both their within-team networks and their members' extended networks. We show that, while an assigned team's performance is strongly correlated with its networks of expressive and instrumental ties, only the strongest ties in both networks have an effect on performance. Both networks of strong ties explain more of the variance than other factors, such as measured or self-evaluated technical competencies, or the personalities of the team members. In fact, the inclusion of the network of strong ties renders these factors non-significant in the statistical analysis. Our results have consequences for the organization of
teams of scientists, engineers, and other knowledge workers tackling today's most complex problems.


The Strength of the Strongest Ties in Collaborative Problem Solving
Yves-Alexandre de Montjoye, Arkadiusz Stopczynski, Erez Shmueli, Alex Pentland, and Sune Lehmann

Scientific Reports 4, Article number: 5277 (2014)

http://dx.doi.org/10.1038/srep05277

See it on Scoop.it (http://www.scoop.it/t/papers/p/4023466736/2014/06/24/the-strength-of-the-strongest-ties-in-collaborative-problem-solving) , via Papers (http://www.scoop.it/t/papers)



Controllability and observability analysis for vertex domination centrality in directed networks

    Topological centrality is a significant measure for characterising the relative importance of a node in a complex network. For directed networks that model dynamic processes, however, it is of more practical importance to quantify a vertex's ability to dominate (control or observe) the state of other vertices. In this paper, based on the determination of controllable and observable subspaces under the global minimum-cost condition, we introduce a novel direction-specific index, domination centrality, to assess the intervention capabilities of vertices in a directed network. Statistical studies demonstrate that the domination centrality is, to a great extent, encoded by the underlying network's degree distribution and that most network positions through which one can intervene in a system are vertices with high domination centrality rather than network hubs. To analyse the interaction and functional dependence between vertices when they are used to dominate a network, we
define the domination similarity and detect significant functional modules in glossary and metabolic networks through clustering analysis. The experimental results provide strong evidence that our indices are effective and practical in accurately depicting the structure of directed networks.


Controllability and observability analysis for vertex domination centrality in directed networks
B Wang, L Gao, Y Gao, Y Deng, and Y Wang

Scientific Reports 4, Article number 5399 (23 June 2014)

http://dx.doi.org/10.1038/srep05399

See it on Scoop.it (http://www.scoop.it/t/papers/p/4023465877/2014/06/24/controllability-and-observability-analysis-for-vertex-domination-centrality-in-directed-networks) , via Papers (http://www.scoop.it/t/papers)


 Robin Dunbar on Evolution

    What makes us human?

See it on Scoop.it (http://www.scoop.it/t/talks/p/4023519810/2014/06/24/robin-dunbar-on-evolution) , via Talks (http://www.scoop.it/t/talks)


Beautiful Game Theory: How Soccer Can Help Economics (by Ignacio Palacios-Huerta)

    A wealth of research in recent decades has seen the economic approach to human behavior extended over many areas previously considered to belong to sociology, political science, law, and other fields. Research has also shown that economics can provide insight into many aspects of sports, including soccer. Beautiful Game Theory is the first book that uses soccer to test economic theories and document novel human behavior.

In this brilliant and entertaining book, Ignacio Palacios-Huerta illuminates economics through the world's most popular sport. He offers unique and often startling insights into game theory and microeconomics, covering topics such as mixed strategies, discrimination, incentives, and human preferences. He also looks at finance, experimental economics, behavioral economics, and neuroeconomics. Soccer provides rich data sets and environments that shed light on universal economic principles in interesting and useful ways.

Essential reading for students, researchers, and sports enthusiasts, Beautiful Game Theory is the first book to show what soccer can do for economics.



See it on Scoop.it (http://www.scoop.it/t/cxbooks/p/4023242120/2014/06/23/beautiful-game-theory-how-soccer-can-help-economics-by-ignacio-palacios-huerta) , via CxBooks (http://www.scoop.it/t/cxbooks)


Assistant Professor of Network Science at University of Zurich

    See it on Scoop.it (http://www.scoop.it/t/cxannouncements/p/4023299924/2014/06/23/assistant-professor-of-network-science-at-university-of-zurich) , via CxAnnouncements (http://www.scoop.it/t/cxannouncements)



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