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

  • Jingyuan Shi
  • , Xiaohui Wang
  • , Tai-Quan Peng*
  • , Liang Chen
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

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
JournalAIDS Care - Psychological and Socio-Medical Aspects of AIDS/HIV
Volume29
Issue number2
DOIs
Publication statusPublished - 1 Feb 2017
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Keywords

  • homophily
  • PLWHA interactions
  • popularity effect
  • social network analysis
  • Weibo HIV community

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