A reexamination of connectivity trends via exponential random graph modeling in two IDU risk networks

Kirk Dombrowski, Bilal Khan, Katherine Mclean, Ric Curtis, Travis Wendel, Evan Misshula, Samuel Friedman

Research output: Contribution to journalArticle

16 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1485-1497
Number of pages13
JournalSubstance Use and Misuse
Issue number14
Publication statusPublished - Dec 1 2013



  • ERGM
  • HIV transmission
  • IDU
  • Injector networks
  • Network modeling
  • SFHR network
  • Social network analysis

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Health(social science)
  • Public Health, Environmental and Occupational Health
  • Psychiatry and Mental health

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