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Mathematics / Structure / Evolving networks / Heritability / Social network / Twin study / Modularity / Degree distribution / James H. Fowler / Network theory / Networks / Graph theory


Model of genetic variation in human social networks James H. Fowlera,1, Christopher T. Dawesa, and Nicholas A. Christakisb aDepartment of Political Science, University of California, San Diego, CA 92093; and bDepartment
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Document Date: 2012-02-01 13:00:05


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San Francisco / Cambridge / Pasadena / Dordrecht / New York / Middendorf / /

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Pearson / Raftery AE / Cambridge Univ Press / Burt SA / /

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United States / Netherlands / /

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Facility

California Institute of Technology / University of California / National Institute / Harvard University / /

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uman social networks / typical school network / power-law distribution / school friendship networks / mirror network / human social network / economic and social networks / real social network / social and biological networks / large social network / star network / biological networks / fixed social network / large networks / human networks / real human social networks / human social networks / social networks / real social networks / random network / larger networks / variation in degree distributions across networks / power-law tail / random networks / real and simulated networks / /

Movie

Birds of a feather / /

Organization

Harvard Medical School / California Institute of Technology / Harvard University / Editorial Board / National Institute / National Science Foundation / Stat Assoc / Santos FC / National Academy of Sciences / Department of Sociology / University of California / San Diego / /

Person

Colin F. Camerer / Christopher T. Dawesa / James H. Fowlera / Nicholas A. Christakisb / /

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Author / editor / C.T.D. / non-cooperative model of network formation / /

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California / New York / Massachusetts / /

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simulation / /

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www.pnas.org兾cgi兾doi兾10.1073兾pnas.0806746106 / www.pnas.org/cgi/content/full / /

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