Dynamic Social Networks Promote Cooperation in Experiments with Humans
November 29, 2011 | Journal Article
Frequently updating social networks can support cooperation in large groups.
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November 29, 2011 | Journal Article
Frequently updating social networks can support cooperation in large groups.
November 29, 2011 | Journal Article
Human interactions are not random but rather are structured in social networks, and ties in these networks are often dynamic, changing in response to the behavior of one’s social partners. This structure permits an important form of conditional acti ...
November 1, 2011 | Journal Article
People are highly influenced by what the people in their social network eat.
September 15, 2010 | Journal Article
To evaluate whether such a friend group could indeed provide early detection, the authors studied a flu outbreak at Harvard College in late 2009.
April 6, 2010 | Journal Article
This article examines whether the alcohol consumption behavior of individuals is influenced by the alcohol consumption of people in their social network. A more nuanced understanding of the relationship between social networks and alcohol consumption is important because alcohol has complex health ramifications, both negative and positive.
March 23, 2010 | Journal Article
This article examines how an individual’s decision to cooperate or not cooperate in a game setting can influence subsequent interactions between other players. Little is known about whether cooperative or uncooperative behavior can have a cascading influence on the behavior of people who were not part of the original decision.
March 1, 2010 | Journal Article
In this study, the authors map the social networks of 8,349 adolescents in order to study how sleep behavior spreads how drug use behavior spreads and how a friend's sleep behavior influences one's own drug use.
May 1, 2011 | Journal Article
During the H1N1 outbreak, the authors of this study monitored disease activity by analyzing public messages, "tweets," on the social networking site Twitter. The study established a model for monitoring disease outbreaks in real time.