Young Lindsay E, Ramachandran Arthi, Schumm L Phillip, Khanna Aditya S, Schneider John A
Chicago Center for HIV Elimination, University of Chicago, Chicago, IL.
Department of Medicine, University of Chicago, Chicago, IL.
Soc Networks. 2020 Oct;63:201-212. doi: 10.1016/j.socnet.2020.06.003. Epub 2020 Jul 2.
Capturing dynamics in high-risk personal networks is essential for preventing HIV transmission. Online social networking data offer incentive to augment traditional selfreported approaches for network enumeration. To explore what online networks reveal about dynamics among high-risk associates, we examine the relationship between egocentric confidant and sex networks and personal Facebook friendship networks of a cohort of young Black men who have sex with men. Although overlap exists between self-reported and Facebook associates, the stabilities of each were unrelated. Confidants who were also Facebook friends with a respondent were, however, more likely to be retained. Thus, Facebook networks contain stable confidants.
捕捉高风险个人网络中的动态对于预防艾滋病毒传播至关重要。在线社交网络数据为增强传统的自我报告式网络枚举方法提供了动力。为了探究在线网络揭示了高风险关联人群之间的哪些动态,我们研究了一组与男性发生性行为的年轻黑人男性的以自我为中心的知己和性网络与个人脸书友谊网络之间的关系。虽然自我报告的关联人群和脸书关联人群之间存在重叠,但两者的稳定性并无关联。然而,那些同时也是受访者脸书好友的知己更有可能被保留下来。因此,脸书网络包含稳定的知己。