Sunbelt XXXI International Network for Social Network ... - INSNA

Homophily And Propinquity In Social Ties, And The Consequences For Neighborhood CohesionHipp, John R.; Butts, Carter T.; Nagle, Nicholas N.; Acton, Ryan; Boessen, Adam; Marcum, ChristopherGeographic and Social SpaceHomophily, Cohesion, Neighbor Relationships, Spatially‐embedded Networks, neighborhoodsWED.PM2Using early results from the Twin Communities Network Study, we explore the spatial distribution of social ties in two communities covering 13 census tracts inSouthern California. There are two components to these initial results: First, we estimate the spatial interaction function of social ties by using the physicaldistance between ties in each ego’s network. We simultaneously estimate the effect of social distance between the respondent and the social composition ofthe surrounding area (based on the race/ethnicity and socio‐economic status of the neighborhood) on the formation of ties. Second, we assess how the spatialdistribution of ties relates to each respondent’s perceived cohesion in the neighborhood. These are preliminary results to one of the first studies with data onthe spatial distribution of ego networks, allowing estimation of spatial interaction functions.Homophily Networks For Large Populations: Development, Methodology And UseLieberman, Steve; Everton, SeanAgent‐Based Models and Multi‐Agent SystemsTheory, Homophily, Whole Networks, Behavior Change, Large‐scale Networks, Action And StructureTHURS.PM2We follow Peter Blau, Miller McPherson, and many others in positing that human behavior is best understood in terms of the complex social systems withinwhich actions are taken, and that the representation of these social systems must make evident the endogenous structural constraints on opportunities forinterpersonal contact and group affiliation. We demonstrate a theory and modeling framework for Homophily Networks— the network theoretic realization ofdynamic social structures as the culmination of distributions of salient individual attributes across multidimensional space. We further demonstratemethodologies to develop representative homophily networks for very large populations (e.g., nation‐states) using existing open source and freely availabledata. We discuss results from two studies using Homophily Networks: 1) changing social structures and group affiliation patterns in the United States acrossfour decades using data from the General Social Survey, and 2) modern cross‐cultural differences in large‐scale clustering, entitativity and cohesion patternsacross several large countries using data from the World Values Survey.