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Published in: AIDS and Behavior 12/2017

01-12-2017 | Original Paper

Network Centrality and Geographical Concentration of Social and Service Venues that Serve Young Men Who Have Sex with Men

Authors: Kayo Fujimoto, Rolf Turner, Lisa M. Kuhns, Ju Yeong Kim, Jing Zhao, John A. Schneider

Published in: AIDS and Behavior | Issue 12/2017

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Abstract

This study examines network centrality of inter-venue networks formed by collaboration, competition, and sponsorship relationships among venues that serve young men who have sex with men (MSM) aged 16–29 years in relation to their geographical concentrations in Chicago, Illinois, and Houston, Texas. Our data on the physical venues comprised 116 venues in Chicago and 102 venues in Houston. We examined the relationship between the network centrality of different relations and the geographical intensity among these venues, and considered neighborhood-level socioeconomic determinants of health. The results indicate that young MSM-serving social and service venues found in close physical proximity to one another tend to have large centrality indegree values based on competition in both cities, and based on collaboration only in Chicago. No evidence, however, was found that occupying a central position in the sponsorship networks was related to geographic concentration. Combined, these results suggest that HIV prevention interventions should consider the organizing force for competition. Such a strategy could result in better services. However there may still be potential for overlap and redundancy in services at the expense of under-served regions where proven interventions could have the greatest impact.
Literature
1.
go back to reference Centers for Disease Control and Prevention (CDC). CDC fact sheet: HIV among gay and bisexual men: National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevension, Division of HIV/AIDS Prevention; 2015. Centers for Disease Control and Prevention (CDC). CDC fact sheet: HIV among gay and bisexual men: National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevension, Division of HIV/AIDS Prevention; 2015.
2.
go back to reference Kelly BC, Carpiano RM, Easterbrook A, Parsons JT. Sex and the community: the implications of neighbourhoods and social networks for sexual risk behaviours among urban gay men. Soc Health Illn. 2012;34(7):1085–102.CrossRef Kelly BC, Carpiano RM, Easterbrook A, Parsons JT. Sex and the community: the implications of neighbourhoods and social networks for sexual risk behaviours among urban gay men. Soc Health Illn. 2012;34(7):1085–102.CrossRef
3.
go back to reference Carpiano RM, Kelly BC, Easterbrook A, Parsons JT. Community and drug use among gay men: the role of neighborhoods and networks. J Health Soc Behav. 2011;52(1):74–90.CrossRefPubMed Carpiano RM, Kelly BC, Easterbrook A, Parsons JT. Community and drug use among gay men: the role of neighborhoods and networks. J Health Soc Behav. 2011;52(1):74–90.CrossRefPubMed
4.
go back to reference Buttram M, Kurtz SP. Risk and protective factors assocaited with gay neighborhood residence. Am J Mens Health. 2013;7(2):110–8.CrossRefPubMed Buttram M, Kurtz SP. Risk and protective factors assocaited with gay neighborhood residence. Am J Mens Health. 2013;7(2):110–8.CrossRefPubMed
5.
go back to reference Egan JE, Frye V, Krutz SP, et al. Migration, neighborhoods, and networks: approaches to understanding how urban environmental conditions affect syndemic adverse health outcomes among gay, bisexual and other men who have sex with men. AIDS Behav. 2011;15(Suppl 1):S35–50.CrossRefPubMedPubMedCentral Egan JE, Frye V, Krutz SP, et al. Migration, neighborhoods, and networks: approaches to understanding how urban environmental conditions affect syndemic adverse health outcomes among gay, bisexual and other men who have sex with men. AIDS Behav. 2011;15(Suppl 1):S35–50.CrossRefPubMedPubMedCentral
6.
go back to reference Dragowski EA, Halkitis PN, Moeller RW, Siconolfi DE. Social and sexual contexts explains sexual risk taking in young gay, bisexual, and other young men who have sex with men, ages 13–29 years. J HIV AIDS Soc Serv. 2013;12:236–55.CrossRef Dragowski EA, Halkitis PN, Moeller RW, Siconolfi DE. Social and sexual contexts explains sexual risk taking in young gay, bisexual, and other young men who have sex with men, ages 13–29 years. J HIV AIDS Soc Serv. 2013;12:236–55.CrossRef
7.
go back to reference Martinez AN, Mobley LR, Lorvick J, Novak SP, Lopez A, Kral AH. Spatial analysis of HIV positive injection drug users in San Francisco, 1987–2005. Int J Environ Res Public Health. 2014;11:3937–55.CrossRefPubMedPubMedCentral Martinez AN, Mobley LR, Lorvick J, Novak SP, Lopez A, Kral AH. Spatial analysis of HIV positive injection drug users in San Francisco, 1987–2005. Int J Environ Res Public Health. 2014;11:3937–55.CrossRefPubMedPubMedCentral
9.
go back to reference Frye V, Nandi V, Egan JE, et al. Sexual orientation- and race-based disrimination and sexual HIV risk behavior among urban MSM. AIDS Behav. 2015;19:257–69.CrossRefPubMedPubMedCentral Frye V, Nandi V, Egan JE, et al. Sexual orientation- and race-based disrimination and sexual HIV risk behavior among urban MSM. AIDS Behav. 2015;19:257–69.CrossRefPubMedPubMedCentral
10.
go back to reference Phillips GI, Birkett M, Kuhns L, Hatchel T, Garofalo R, Mustanski B. Neighborhood-level associations with HIV infection among young men who have sex with men in Chicago. Arch Sex Behav. 2015;44:1773–86.CrossRefPubMedPubMedCentral Phillips GI, Birkett M, Kuhns L, Hatchel T, Garofalo R, Mustanski B. Neighborhood-level associations with HIV infection among young men who have sex with men in Chicago. Arch Sex Behav. 2015;44:1773–86.CrossRefPubMedPubMedCentral
11.
go back to reference Frye V, Koblin B, Chin J, et al. Neighborhood-level correlates of consistent condom use among men who have sex with men: a multi-level analysis. AIDS Behav. 2010;14(4):974–85.CrossRefPubMed Frye V, Koblin B, Chin J, et al. Neighborhood-level correlates of consistent condom use among men who have sex with men: a multi-level analysis. AIDS Behav. 2010;14(4):974–85.CrossRefPubMed
12.
go back to reference Portes A. Social capital: its origins and applications in modern sociology. Am Rev Sociol. 1998;24:1–24.CrossRef Portes A. Social capital: its origins and applications in modern sociology. Am Rev Sociol. 1998;24:1–24.CrossRef
13.
go back to reference Wohl AR, Galvan FH, Myers HF, et al. Do social support, stress, disclosure and stigma influence retention in HIV care for Latino and African American men wh o have sex with men and women? AIDS Behav. 2011;15:1098–110.CrossRefPubMed Wohl AR, Galvan FH, Myers HF, et al. Do social support, stress, disclosure and stigma influence retention in HIV care for Latino and African American men wh o have sex with men and women? AIDS Behav. 2011;15:1098–110.CrossRefPubMed
14.
go back to reference Wong CF, Schrager SM, Holloway IW, Maeyer IH, Kipke MD. Minority stress experiences and psychological well-being: the impact of support from and connection to social netowrks within the Los Angeles house and ball communities. Prev Sci. 2014;15:44–55.CrossRefPubMedPubMedCentral Wong CF, Schrager SM, Holloway IW, Maeyer IH, Kipke MD. Minority stress experiences and psychological well-being: the impact of support from and connection to social netowrks within the Los Angeles house and ball communities. Prev Sci. 2014;15:44–55.CrossRefPubMedPubMedCentral
15.
go back to reference Kapadia F, Siconolfi DE, Barton S, Olivieri B, Lombardo L, Halkitis PN. Social support network characteristics an sexual risk taking among a racially/ethnically diverse sample of young, urban men who have sex with men. AIDS Behav. 2013;17:1819–28.CrossRefPubMedPubMedCentral Kapadia F, Siconolfi DE, Barton S, Olivieri B, Lombardo L, Halkitis PN. Social support network characteristics an sexual risk taking among a racially/ethnically diverse sample of young, urban men who have sex with men. AIDS Behav. 2013;17:1819–28.CrossRefPubMedPubMedCentral
16.
go back to reference Schneider JA, Stuart M, Alida B. Family network proportion and HIV risk among Black men who have sex with men. J Acquir Immune Defic Syndr. 2012;61(5):627–35.CrossRefPubMedPubMedCentral Schneider JA, Stuart M, Alida B. Family network proportion and HIV risk among Black men who have sex with men. J Acquir Immune Defic Syndr. 2012;61(5):627–35.CrossRefPubMedPubMedCentral
17.
go back to reference Schneider JA, Cornwekk B, Ostrow D, Michaels S, Schumm P. Network mixing and network influences most linked to HIV infection and risk behavior in the HIV epidemic among Black men who have sex with men. Am J Public Health. 2013;103(1):E28–36.CrossRefPubMedPubMedCentral Schneider JA, Cornwekk B, Ostrow D, Michaels S, Schumm P. Network mixing and network influences most linked to HIV infection and risk behavior in the HIV epidemic among Black men who have sex with men. Am J Public Health. 2013;103(1):E28–36.CrossRefPubMedPubMedCentral
18.
go back to reference Tobin KE, Latkin CA, Curriero FC. An examination of places where African American men who have sex with men (MSM) use drugs/drink alcohol: a focus on social and spatial characteristics. Int J Drug Policy. 2014;25:591–7.CrossRefPubMed Tobin KE, Latkin CA, Curriero FC. An examination of places where African American men who have sex with men (MSM) use drugs/drink alcohol: a focus on social and spatial characteristics. Int J Drug Policy. 2014;25:591–7.CrossRefPubMed
19.
go back to reference Fujimoto K, Wang P, Kuhns L, et al. Multiplex competition, collaboration, and funding networks among social and health organizations: towards organization-based HIV interventions for young men who have sex with men. Med Care. 2017;55(2):102–10. Fujimoto K, Wang P, Kuhns L, et al. Multiplex competition, collaboration, and funding networks among social and health organizations: towards organization-based HIV interventions for young men who have sex with men. Med Care. 2017;55(2):102–10.
20.
go back to reference Bourdieu P. The forms of capital. In: Richardson JG, editor. Handbook of theory and research for the sociology of education. New York: Greenwood; 1986. p. 241–58. Bourdieu P. The forms of capital. In: Richardson JG, editor. Handbook of theory and research for the sociology of education. New York: Greenwood; 1986. p. 241–58.
21.
go back to reference Carpiano RM. Toward a neighborhood resouce-based theory of soical capital for health: can Bourdieu and sociology help? Soc Sci Med. 2006;62:165–75.CrossRefPubMed Carpiano RM. Toward a neighborhood resouce-based theory of soical capital for health: can Bourdieu and sociology help? Soc Sci Med. 2006;62:165–75.CrossRefPubMed
22.
go back to reference Carpiano RM. Actual or potential neighborhood resouces for health: What can Broudieu offer for understanding mechanisms linking soical capital to health? In: Kawachi I, Kim D, Subramanian SV, editors. Social capital and health. New York: Springer; 2008. p. 83–94.CrossRef Carpiano RM. Actual or potential neighborhood resouces for health: What can Broudieu offer for understanding mechanisms linking soical capital to health? In: Kawachi I, Kim D, Subramanian SV, editors. Social capital and health. New York: Springer; 2008. p. 83–94.CrossRef
23.
go back to reference Carpiano RM. Neighborhood social capital and adult health: an empirical test of a Bourdieu-based model. Health Place. 2007;13:639–55.CrossRefPubMed Carpiano RM. Neighborhood social capital and adult health: an empirical test of a Bourdieu-based model. Health Place. 2007;13:639–55.CrossRefPubMed
24.
go back to reference Laumann EO, Galakiewicz J, Marsden PV. Community structure as interorganizational linkages. Annu Rev Sociol. 1978;4:455–84.CrossRef Laumann EO, Galakiewicz J, Marsden PV. Community structure as interorganizational linkages. Annu Rev Sociol. 1978;4:455–84.CrossRef
25.
26.
go back to reference Astley WG, Sachdeva PS. Structural sources of interorganizational power: a theoretical synthesis. Acad Manag Rev. 1984;9:104–13. Astley WG, Sachdeva PS. Structural sources of interorganizational power: a theoretical synthesis. Acad Manag Rev. 1984;9:104–13.
27.
28.
go back to reference Hoffman AN, Stearns TM, Shrader CB. Structure, context, and centrality in interorganizational networks. J Bus Res. 1990;20:333–47.CrossRef Hoffman AN, Stearns TM, Shrader CB. Structure, context, and centrality in interorganizational networks. J Bus Res. 1990;20:333–47.CrossRef
29.
go back to reference Dickson-Gomez J, Corbett AM, Bodnar G, Rodriguez K, Guevara CE. Resouces and obstacles to developing and implementing a structural intervention to prevent HIV in San Salvador, El Savador. Soc Sci Med. 2010;70:351–9.CrossRefPubMed Dickson-Gomez J, Corbett AM, Bodnar G, Rodriguez K, Guevara CE. Resouces and obstacles to developing and implementing a structural intervention to prevent HIV in San Salvador, El Savador. Soc Sci Med. 2010;70:351–9.CrossRefPubMed
30.
go back to reference ESRI. ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute; 2011. ESRI. ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute; 2011.
31.
go back to reference AIDSVu. Emory University, Rollins School of Public Health. Atlanta, GA; 2014. AIDSVu. Emory University, Rollins School of Public Health. Atlanta, GA; 2014.
32.
go back to reference Csardi G, Nepusz T. The igraph software package for complex network research: InterJournal, Complex Systems 1695; 2006. Csardi G, Nepusz T. The igraph software package for complex network research: InterJournal, Complex Systems 1695; 2006.
33.
go back to reference Freeman LC. Centrality in social networks: conceptual clarification. Soc Netw. 1979;24(4):385–94. Freeman LC. Centrality in social networks: conceptual clarification. Soc Netw. 1979;24(4):385–94.
34.
go back to reference UCINET 6 for Windows: Software for Social Network Analysis [computer program]. Version 6: Harvard: Analytic Technologies; 2002. UCINET 6 for Windows: Software for Social Network Analysis [computer program]. Version 6: Harvard: Analytic Technologies; 2002.
35.
go back to reference Costenbader E, Valente TW. The stability of centrality measures when networks are sampled. Soc Netw. 2003;25:283–307.CrossRef Costenbader E, Valente TW. The stability of centrality measures when networks are sampled. Soc Netw. 2003;25:283–307.CrossRef
36.
go back to reference Baddeley A, Rubak E, Turner R. Spatial point patterns: methodology and applications with R. New York: CRC Press; 2015. Baddeley A, Rubak E, Turner R. Spatial point patterns: methodology and applications with R. New York: CRC Press; 2015.
37.
go back to reference Baddeley A, Turner R, Rubak, E. Package ‘spatstat’ Version 1.40-0: Spatial point pattern analysis, model-fitting, simulation, tests. 2014. Baddeley A, Turner R, Rubak, E. Package ‘spatstat’ Version 1.40-0: Spatial point pattern analysis, model-fitting, simulation, tests. 2014.
38.
go back to reference Adams J, Faust K, Lovasi GS. Capturing context: integrating spatial and social network analyses. Soc Netw. 2012;34:1–5.CrossRef Adams J, Faust K, Lovasi GS. Capturing context: integrating spatial and social network analyses. Soc Netw. 2012;34:1–5.CrossRef
Metadata
Title
Network Centrality and Geographical Concentration of Social and Service Venues that Serve Young Men Who Have Sex with Men
Authors
Kayo Fujimoto
Rolf Turner
Lisa M. Kuhns
Ju Yeong Kim
Jing Zhao
John A. Schneider
Publication date
01-12-2017
Publisher
Springer US
Published in
AIDS and Behavior / Issue 12/2017
Print ISSN: 1090-7165
Electronic ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-017-1711-z

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