Shi Jingyuan, Wang Xiaohui, Peng Tai-Quan, Chen Liang
a Wee Kim Wee School of Communication & Information , Nanyang Technological University , Singapore.
b Department of Communication , Michigan State University , East Lansing , MI , USA.
AIDS Care. 2017 Feb;29(2):239-243. doi: 10.1080/09540121.2016.1210074. Epub 2016 Jul 19.
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.
本研究运用社会网络分析方法，对中国最大的虚拟艾滋病社区之一中艾滋病病毒感染者/艾滋病患者之间建立互动关系的驱动机制进行了调查。具体而言，我们解释了基于同质性和受欢迎程度特征形成互动关系的概率。指数随机图模型结果表明，该社区成员在共同居住地点和兴趣方面倾向于形成同质性关系。此外，我们发现了一种远离受欢迎程度效应的趋势。这表明在这个社区中，资源和信息并非由少数成员不成比例地获取，这可能对整个社区有益。
