Model of genetic variation in human social networks.

Abstract:

:Social networks exhibit strikingly systematic patterns across a wide range of human contexts. Although genetic variation accounts for a significant portion of the variation in many complex social behaviors, the heritability of egocentric social network attributes is unknown. Here, we show that 3 of these attributes (in-degree, transitivity, and centrality) are heritable. We then develop a "mirror network" method to test extant network models and show that none account for observed genetic variation in human social networks. We propose an alternative "Attract and Introduce" model with two simple forms of heterogeneity that generates significant heritability and other important network features. We show that the model is well suited to real social networks in humans. These results suggest that natural selection may have played a role in the evolution of social networks. They also suggest that modeling intrinsic variation in network attributes may be important for understanding the way genes affect human behaviors and the way these behaviors spread from person to person.

authors

Fowler JH,Dawes CT,Christakis NA

doi

10.1073/pnas.0806746106

subject

Has Abstract

pub_date

2009-02-10 00:00:00

pages

1720-4

issue

6

eissn

0027-8424

issn

1091-6490

pii

0806746106

journal_volume

106

pub_type

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