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Activity Details

696 Thu, 8/8/2013, 10:30 AM - 12:20 PM CC-510c
Analysis of Social Networks — Contributed Papers
Social Statistics Section , International Chinese Statistical Association , Section on Statistics in Marketing , Section on Statistics in Epidemiology , Scientific and Public Affairs Advisory Committee , Korean International Statistical Society
Chair(s): James Treat, US Census Bureau
10:35 AM Link Prediction and Missing Data in Social Network Surveys: An Initial Exploration Taniecea Arceneaux, U.S. Census Bureau ; Burton H. Singer, University of Florida, Emerging Pathogens Institute
10:50 AM Dynamic Social Network Analysis Using Separable Temporal Exponential Random Graph Models Gregory J. Lambert, Sandia National Laboratories ; Patrick D. Finley, Sandia National Laboratories ; Thomas W. Moore, Sandia National Laboratories
11:05 AM Using Egocentric Data to Explore Size and Diversity of Social Networks Among Lesbian, Gay, Bisexual, and Transgender (LGBT) Older Adults Elena Erosheva, University of Washington ; Hyun-Jun Kim, University of Washington ; Charles A. Emlet, University of Washington ; Karen I. Fredriksen-Goldsen, University of Washington
11:20 AM Partnership Duration Analysis with Dynamic Social Network Using Separable Temporal Exponential Random Graph Model Ke Li, University of Washington ; Martina Morris, University of Washington
11:35 AM A Social Network Analysis of Alcohol-Impaired Drivers in Maryland---An Egocentric Approach: Applications of Logistic Regression and Poisson Regression Ashraf Ahmed, Morgan State University ; Andrew Farkas, MORGAN STATE UNIVERSITY ; Kenneth Beck, University of Maryland
11:50 AM Statistical Models for Networks Resilient to Targeted Attacks Jingfei Zhang, University of Illinois ; Yuguo Chen, University of Illinois at Urbana-Champaign
12:05 PM Use of General Transit Feed Specification (GTFS) Data in Analyzing Transportation Barriers Faced by Housing Voucher Holders Peter K. Kwok, NORC at the University of Chicago ; Julia Rotondo, NORC at the University of Chicago

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