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

Racial Segregation And Assortative Sexual Mixing During The Transition From Adolescence To Young AdulthoodFord, Jodi L.; Browning, Christopher R.Social Networks and DemographicsAdolescents, Race, HIV Risk, Friendship Network, Segregation, assortativeWED.PM1Assortative sexual mixing by race is more common among the African American population and significantly contributes to the extensive racial disparities inHIV observed in the U.S. today. Research has found that structural forces, particularly racial segregation shape assortative sexual mixing patterns by reducingopportunities to interact with dissimilar others. However, our understanding of the longitudinal effects of exposure to racially segregated structural and socialenvironments on assortative sexual mixing across the life course is limited. This study extends previous research and examines the extent to which exposure tomultiple contexts of racial segregation during adolescence shapes racially assortative sexual mixing preferences and patterns during young adulthood. Ourstudy utilizes secondary data from Add Health, Waves I and III. The sampling frame consists of high school students in 9th‐12th grades at Wave I. Data sourcesinclude school administrator and student surveys and geographic administrative data from the 1990 and 2000 Census. Independent variables of interestinclude neighborhood racial heterogeneity at Waves I and III (the latter is included to account for concurrent opportunity), school racial heterogeneity, schoolnetwork racial segregation and ego network racial heterogeneity. Dependent variables include: (1) preference to marry within the same racial and ethnic groupand (2) the occurrence of assortative sexual mixing by race and ethnicity within the past year. Analyses include the development of network measures andmultilevel regression analyses. All multilevel models are stratified by race and ethnicity to better understand unique patterns within groups.Re‐assessing Dark Networks By Incorporating Spatial Data Into A Multi‐modal Analysis Of Insurgent GroupsMurphy, Philip J.; Everton, Sean; Roberts, NancyCriminals, Gangs, Terrorists, and NetworksSpatial Analysis, Betweenness Centrality, Dark NetworksSAT.PM1An analyst’s objective in analyzing covert, illegal, or militant groups is to describe and characterize the structure and interactions of these groups in a mannerthat will allow interventions to destabilize, disrupt, or otherwise prevent further violent or extreme activities. As such, the practical application of networkanalytic output has become increasingly valuable to analysts specializing in understanding dark networks as part of counter insurgency (COIN) and counterterrorism efforts. As more information becomes available, the incorporation of multi‐modal data into the analysis of dark networks has served to greatly clarifythe various roles and relationships between agents in a network and has become increasingly commonplace in the field. But the main focus remains onpractical application. It is for this reason that the recent extension of measures of centrality to incorporate physical location presents an intriguing analyticoption. We use the network of actors at two time points within the Jemaah Islamiyah organization. In a comparative analysis, we assess the new spatiallycorrected centrality measures against the more commonly applied centrality measures for their use with two‐mode and multi‐modal dark network data andthe opportunities and challenges that they present.