Understanding interactions in virtual HIV communities: a social network analysis approach

Jingyuan Shi, Xiaohui Wang, Tai Quan Peng, Liang Chen

Research output: Contribution to journalJournal articlepeer-review

8 Citations (Scopus)


This study investigated the driving mechanism of building interaction ties among the people living with HIV/AIDS in one of the largest virtual HIV communities in China using social network analysis. Specifically, we explained the probability of forming interaction ties with homophily and popularity characteristics. The exponential random graph modeling results showed that members in this community tend to form homophilous ties in terms of shared location and interests. Moreover, we found a tendency away from popularity effect. This suggests that in this community, resources and information were not disproportionally received by a few of members, which could be beneficial to the overall community.

Original languageEnglish
Pages (from-to)239-243
Number of pages5
JournalAIDS Care: Psychological and Socio-medical Aspects of AIDS/HIV
Issue number2
Publication statusPublished - 2017


Dive into the research topics of 'Understanding interactions in virtual HIV communities: a social network analysis approach'. Together they form a unique fingerprint.

Cite this