A Reexamination of Connectivity Trends via Exponential Random Graph Modeling in Two IDU Risk Networks. (6th December 2013)

• Record Type: Journal Article
• Authors: Dombrowski, Kirk; Khan, Bilal; McLean, Katherine; Curtis, Ric; Wendel, Travis; Misshula, Evan; Friedman, Samuel
• Is Part Of: Substance use & misuse. Volume 48:Number 14(2013)
• Page Start: 1485
• Page End: 1497
• Publication Date: 2013-12-06
• Subjects: Narcotic habit -- Periodicals; Alcoholism -- Periodicals; Substance abuse -- Periodicals; Behavior, Addictive -- Periodicals; Sustance-Related Disorders -- Periodicals; 362.2905
• DOI: 10.3109/10826084.2013.796987
• Languages: English
• ISSNs: 1082-6084

Abstract

<abstract> <title> <x xml:space="preserve">Abstract</x> </title> <p>Patterns of risk in injecting drug user (IDU) networks have been a key focus of network approaches to HIV transmission histories. New network modeling techniques allow for a reexamination of these patterns with greater statistical accuracy and the comparative weighting of model elements. This paper describes the results of a reexamination of network data from the SFHR and P90 data sets using Exponential Random Graph Modeling. The results show that "transitive closure" is an important feature of IDU network topologies, and provides relative importance measures for race/ethnicity, age, gender, and number of risk partners in predicting risk relationships.</p> </abstract>