Dynamic social networks promote cooperation in experiments with humans

By David G. Rand, Samuel Arbesman, Nicholas A. Christakis. Proceedings of the National Academy of Sciences of the United States of America, 2011

668 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Genetics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/4677d5cc237dcadd7f51f0c79c64abfac6eec673

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Citations in the corpus

Biological markets and the effects of partner choice on cooperation and friendship (2016, background): “The level of cooperation depends on how easily or frequently one can break links with noncooperators [60] 3.”
Modeling, Analysis and Control of Networked Evolutionary Games (2015, background): “Some experiments have also been performed to verify the emergence [27].”
Collaborative environmental governance: Achieving collective action in social-ecological systems (2017, background): “, how leaders directly or indirectly engage in creating, intervening in, and shaping networks [“network weaving,” see (43, 89, 94, 95)].”
Fairness versus favoritism in children (2012, background): “…of all, it is not clear why a sense of fairness is necessary to restrain short-term self-interest in order to extract the longterm benefits of cooperation (for two recent models of cooperation that do not require a sense of fairness, see Delton, Krasnow, Cosmides, & Tooby, 2011; Rand et al., 2011).”
Institutional investor cliques and governance (2019, background): “Theoretical and experimental research in networks supports the view that coordination in a network is associated with complete subgraphs, known as “cliques” (e.g., Cassar, 2007; Siegel, 2009; Rand et al., 2011).”
Games on graphs (2014, result): “In contrast, experiments involving dynamic networks with active partner choice [24], [79], [117], [40] show a significant benefit to cooperation.”
Social contagion theory: examining dynamic social networks and human behavior (2011, methodology): “While we have done work on the former [5, 7-13], here we will focus primarily on the latter, discussing analyses of the flow of behaviors, affective states, or germs.”