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

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.

[1]  Matthew J. Salganik,et al.  Assessing respondent-driven sampling , 2010, Proceedings of the National Academy of Sciences.

[2]  Carol B. Stack All our kin : strategies for survival in a Black community , 1975 .

[3]  Carl A Latkin,et al.  The dynamics of injection drug users' personal networks and HIV risk behaviors. , 2006, Addiction.

[4]  G. Marks,et al.  Older partner selection, sexual risk behaviour and unrecognised HIV infection among black and Latino men who have sex with men , 2011, Sexually Transmitted Infections.

[5]  M. Bailey,et al.  Constructing Home and Family: How the Ballroom Community Supports African American GLBTQ Youth in the Face of HIV/AIDS , 2009, Journal of gay & lesbian social services.

[6]  J. Krosnick Response strategies for coping with the cognitive demands of attitude measures in surveys , 1991 .

[7]  Benjamin Cornwell,et al.  Network dynamics of HIV risk and prevention in a population-based cohort of young Black men who have sex with men , 2017, Network Science.

[8]  E. Koku,et al.  Explaining HIV Risk Multiplexity: A Social Network Analysis , 2018, AIDS and Behavior.

[9]  Vladimir I. Levenshtein,et al.  Binary codes capable of correcting deletions, insertions, and reversals , 1965 .

[10]  Alexandra Marin,et al.  Simplifying the Personal Network Name Generator , 2007 .

[11]  T. Rhodes,et al.  The social structural production of HIV risk among injecting drug users. , 2005, Social science & medicine.

[12]  Douglas D. Heckathorn,et al.  Respondent-driven sampling : A new approach to the study of hidden populations , 1997 .

[13]  Richard P. Eibach,et al.  Intersectional Invisibility: The Distinctive Advantages and Disadvantages of Multiple Subordinate-Group Identities , 2008 .

[14]  R. Bakeman,et al.  Explaining disparities in HIV infection among black and white men who have sex with men: a meta-analysis of HIV risk behaviors , 2007, AIDS.

[15]  Lynn Dombrowski,et al.  Disclosure, Stress, and Support During Gender Transition on Facebook , 2015, CSCW.

[16]  Claire Bidart,et al.  Evolutions of personal networks and life events , 2005, Soc. Networks.

[17]  Christopher J. Carpenter,et al.  Relational Distancing and Termination between Online Friends: An Application of the Investment Model , 2017, CHI.

[18]  Marco Conti,et al.  The structure of online social networks mirrors those in the offline world , 2015, Soc. Networks.

[19]  Stephanie M. Reich,et al.  Friending, IMing, and hanging out face-to-face: overlap in adolescents' online and offline social networks. , 2012, Developmental psychology.

[20]  Kayo Fujimoto,et al.  The Multiplex Social Environments of Young Black Men Who Have Sex with Men: How Online and Offline Social Structures Impact HIV Prevention and Sex Behavior Engagement , 2019, J. Soc. Struct..

[21]  C. Latkin,et al.  Multiplex Relationships and HIV: Implications for Network‐Based Interventions , 2017, AIDS and Behavior.

[22]  Mason A. Porter,et al.  Social Structure of Facebook Networks , 2011, ArXiv.

[23]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[24]  T. Hart,et al.  Comparisons of disparities and risks of HIV infection in black and other men who have sex with men in Canada, UK, and USA: a meta-analysis , 2012, The Lancet.

[25]  L. Philips,et al.  Hanging on the metaphone , 1990 .

[26]  Lindsay E. Young,et al.  Facebook group affiliation ties, group topics, and HIV behavioral characteristics among young Black men who have sex with men: Potential for public health intervention , 2019, SSM - population health.

[27]  C. Fischer,et al.  Changes in support networks in late middle age: the extension of gender and educational differences. , 2015, The journals of gerontology. Series B, Psychological sciences and social sciences.

[28]  R. Royall Model robust confidence intervals using maximum likelihood estimators , 1986 .

[29]  Sophia Rabe-Hesketh,et al.  Generalized latent variable models: multilevel, longitudinal, and structural equation models , 2004 .

[30]  Thabo van Woudenberg,et al.  Comparing the measurement of different social networks: Peer nominations, online communication, and proximity data , 2020, Network Science.

[31]  Maeve Duggan,et al.  Social Media Update 2016 , 2016 .

[32]  W. Rogers Regression standard errors in clustered samples , 1994 .

[33]  Yuli Patrick Hsieh,et al.  Check the phone book: Testing information and communication technology (ICT) recall aids for personal network surveys , 2015, Soc. Networks.

[34]  Matthew Desmond Disposable Ties and the Urban Poor1 , 2012, American Journal of Sociology.

[35]  Marco Conti,et al.  Online Social Networks: Human Cognitive Constraints in Facebook and Twitter Personal Graphs , 2015 .

[36]  Peter V. Marsden,et al.  Survey Methods for Network Data , 2014 .

[37]  P. V. Marsden,et al.  Core Discussion Networks of Americans , 1987 .

[38]  N. Gilbert,et al.  Modelling Digital Habitus: The relationship between the internet and the density and duration of friendship ties , 2013 .

[39]  Cynthia M. Lakon,et al.  Mechanisms through which drug, sex partner, and friendship network characteristics relate to risky needle use among high risk youth and young adults. , 2006, Social science & medicine.

[40]  Beate Völker,et al.  Changes in personal relationships: How social contexts affect the emergence and discontinuation of relationships , 2014, Soc. Networks.

[41]  Lisa G. Johnston,et al.  Sampling Hard-to-Reach Populations with Respondent Driven Sampling , 2010 .

[42]  Scott L. Feld,et al.  Structural embeddedness and stability of interpersonal relations , 1997 .

[43]  Benjamin Cornwell,et al.  The health benefits of network growth: new evidence from a national survey of older adults. , 2015, Social science & medicine.

[44]  Gil Viry,et al.  Residential mobility and the spatial dispersion of personal networks: Effects on social support , 2012, Soc. Networks.

[45]  David L. Morgan,et al.  The stability of core and peripheral networks over time , 1997 .

[46]  John Schneider,et al.  A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks , 2018, Scientific Reports.

[47]  J. Verkuilen Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach by P. de Boeck and M. Wilson and Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models by A. Skrondal and S. Rabe-Hesketh , 2006, Psychometrika.

[48]  Barry Wellman,et al.  A decade of network change: Turnover, persistence and stability in personal communities☆ , 1997 .

[49]  C. McCulloch,et al.  Generalized Linear Mixed Models , 2005 .

[50]  Ben Y. Zhao,et al.  Beyond Social Graphs: User Interactions in Online Social Networks and their Implications , 2012, TWEB.

[51]  R. I. M. Dunbar,et al.  Managing Relationship Decay , 2015, Human Nature.

[52]  D. Brewer,et al.  Forgetting as a cause of incomplete reporting of sexual and drug injection partners. , 1999, Sexually transmitted diseases.

[53]  Adaora A Adimora,et al.  Social context, sexual networks, and racial disparities in rates of sexually transmitted infections. , 2005, The Journal of infectious diseases.

[54]  S. Michaels,et al.  Family Network Proportion and HIV Risk Among Black Men Who Have Sex With Men , 2012, Journal of acquired immune deficiency syndromes.