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An early 2010 paper by Christakis and Fowler documented, using an in-person experiment, that cooperation behavior can cascade to three degrees of separation. [36] A 2012 experiment involved 61,000,000 people who used Facebook and it showed the spread of voting behavior out to two degrees of separation. [ 37 ]
Nicholas A. Christakis (born May 7, 1962) is a Greek-American [1] sociologist and physician known for his research on social networks and on the social, economic, biological, and evolutionary determinants of human welfare (including the behavior, health, and capabilities of individuals and groups).
In September 2009, Little, Brown & Co. published Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives by Nicholas A. Christakis and James H. Fowler. [36] Connected draws on previously published and unpublished studies, including the Framingham Heart Study and makes several new conclusions about the influence of ...
[1] [2] [3] With respect to positive social contagions, a series of experiments and field trials since 2009 (by Nicholas Christakis and diverse collaborators) have shown that cascades of desirable behaviors can be induced in social groups, in settings as diverse as Honduras villages, [4] [5] [6] Indian slums, [7] online, [8] or in the lab. [9]
Beginning in the late 1990s, social network analysis experienced a further resurgence with work by sociologists, political scientists, economists, computer scientists, and physicists such as Duncan J. Watts, Albert-László Barabási, Peter Bearman, Nicholas A. Christakis, James H. Fowler, Mark Newman, Matthew Jackson, Jon Kleinberg, and others ...
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He was cut loose in 2009 on parole, which discharged him in August of 2016. Two others pleaded guilty in October 1992 to first-degree reckless endangerment and were sentenced to 2 1/3 to seven ...
In network theory a scale-free ideal network is a random network with a degree distribution that unravels the size distribution of social groups. [43] Specific characteristics of scale-free networks vary with the theories and analytical tools used to create them, however, in general, scale-free networks have some common characteristics.