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
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Aditya S. Khanna | Lindsay E. Young | Arthi Ramachandran | Phillip Schumm | John A. Schneider | J. Schneider | A. Khanna | Arthi Ramachandran | P. Schumm
[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.