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

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Overlap And Distinctiveness In Adolescent <strong>Social</strong> <strong>Network</strong>s: The Effects Of Name Generators And Boundary ConditionsValente, Thomas; Unger, Jennifer; Meeker, Daniela; Ritt‐Olson, Anamara; Soto, Daniel; Fujimoto, KayoAdolescent Friendship <strong>Network</strong>sAdolescents, Risk, Peer Effects, Friendship, Tobacco, alcoholFRI.AM2This study reports data from a survey administered to approximately 1,100 students in four high schools in southern Cali<strong>for</strong>nia. We varied boundary conditionsby asking friendship questions using an ego‐centric <strong>for</strong>mat and then restricting nominations to the students’ grade and classroom. We also asked several namegenerators <strong>for</strong> the grade and class networks including: whom do you admire, think is the most successful, and think is popular. We present preliminary dataindicating the degree of overlap and distinctiveness generated by these data. We also estimated regression models to determine correlates of overlap anddistinctiveness.Overlapping Personal <strong>Network</strong>s I: An Examination Of The Effects Of <strong>Social</strong> Context On Juvenile Delinquency Using Overlapping Personal <strong>Network</strong>sRoman, Caterina G.; Cahill, Meagan; Lowry, Samantha; McCarty, ChrisOverlapping Personal <strong>Network</strong>sAdolescents, Criminal Behavior, <strong>Network</strong> Composition, <strong>Network</strong> Structure, Crime <strong>Network</strong>s, <strong>Social</strong> bondingSAT.AM1Our objective was to test whether structural position within a whole network and personal network compositions and structure predict juvenile delinquentbehavior. A neighborhood in Montgomery County, Maryland with high gang activity was identified by local law en<strong>for</strong>cement and social service agencies. Weattempted to interview all youth within the neighborhood boundary between the ages of 14 and 21 using the data collection program Egonet, ultimatelyinterviewing 160 respondents. Each respondent provided the names of 20 alters, along with a set of 17 questions about each alter. Respondents alsoevaluated all 190 unique alter‐alter ties resulting in a matrix <strong>for</strong> each respondent representing their social context, both inside and outside the neighborhood.The personal networks were merged adding respondents as alters. The resulting whole network showed social position within the neighborhood as well ascommon sets of alters on the neighborhood periphery. Our analysis will show the effects of social context, including gang membership, on levels of delinquentbehavior.

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