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

Abstract:

: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.

journal_name

Subst Use Misuse

journal_title

Substance use & misuse

authors

Dombrowski K,Khan B,McLean K,Curtis R,Wendel T,Misshula E,Friedman S

doi

10.3109/10826084.2013.796987

subject

Has Abstract

pub_date

2013-12-01 00:00:00

pages

1485-97

issue

14

eissn

1082-6084

issn

1532-2491

journal_volume

48

pub_type

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