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The potential of online social networking data for augmenting the study of high-risk personal networks among young men who have sex with men at-risk for HIV.
Young, Lindsay E; Ramachandran, Arthi; Schumm, L Phillip; Khanna, Aditya S; Schneider, John A.
Afiliação
  • Young LE; Chicago Center for HIV Elimination, University of Chicago, Chicago, IL.
  • Ramachandran A; Department of Medicine, University of Chicago, Chicago, IL.
  • Schumm LP; Chicago Center for HIV Elimination, University of Chicago, Chicago, IL.
  • Khanna AS; Department of Medicine, University of Chicago, Chicago, IL.
  • Schneider JA; Center for Data Science and Public Policy, University of Chicago, Chicago, IL.
Soc Networks ; 63: 201-212, 2020 Oct.
Article em En | MEDLINE | ID: mdl-33100488
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article