Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84879
Title: Understanding interactions in virtual HIV communities: a social network analysis approach
Authors: Shi, Jingyuan
Wang, Xiaohui
Peng, Tai-Quan
Chen, Liang
Keywords: Social network analysis
Weibo HIV community
Issue Date: 2016
Source: Shi, J., Wang, X., Peng, T.-Q., & Chen, L. (2016). Understanding interactions in virtual HIV communities: a social network analysis approach. AIDS Care, 29(2), 239-243.
Series/Report no.: AIDS Care
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.
URI: https://hdl.handle.net/10356/84879
http://hdl.handle.net/10220/42015
ISSN: 0954-0121
DOI: 10.1080/09540121.2016.1210074
Rights: © 2016 Informa UK Limited. This is the author created version of a work that has been peer reviewed and accepted for publication by AIDS Care, Informa UK Limited. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1080/09540121.2016.1210074].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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