References
- Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification. The Journal of Mathematical Sociology, 2(1), 113–120. doi:https://doi.org/10.1080/0022250X.1972.9989806
- Borgatti, S. P. (2002). NetDraw software for network visualization. Analytic Technologies.
- Borgatti, S. P., & Everett, M. G. (2000). Models of core/periphery structures. Social Networks, 21(4), 375–395. https://doi.org/https://doi.org/10.1016/S0378-8733(99)00019-2
- Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). Ucinet 6 for windows: software for social network analysis. Analytic Technologies.
- Centers for Disease Control and Prevention. (2016). Community-clinical linkages for the prevention and control of chronic diseases: A practitioner’s guide. https://www.cdc.gov/dhdsp/pubs/docs/ccl-practitioners-guide.pdf
- Centers for Disease Control and Prevention. (2018). HIV and African American Gay and Bisexual Men. https://www.cdc.gov/hiv/group/msm/bmsm.html
- Centers for Disease Control and Prevention. (n.d.). About ending the HIV epidemic initiative. https://www.cdc.gov/endhiv/about.html
- Clement, M., Okeke, N. L., Munn, T., Hunter, M., Alexis, K., Corneli, A., Sena, A., McGee, K., & McKellar, M. (2017). Partnerships between a University-Affiliated clinic and community based organizations to reach black men who have sex with men for PrEP Care. Open Forum Infectious Diseases, 4(suppl_1), S438–S438. https://doi.org/https://doi.org/10.1093/ofid/ofx163.1110
- Department of Health and Human Services. (2017). National HIV/AIDS strategy for the United States: updated to 2020: 2017 progress report. https://www.hiv.gov/federal-response/national-hiv-aids-strategy/nhas-update
- Diviák, T., Dijkstra, J. K., & Snijders, T. A. B. (2019). Structure, multiplexity, and centrality in a corruption network: the Czech Rath affair. Trends in Organized Crime, 22(3), 274–297.
- Feinberg, M. E., Riggs, N. R., & Greenberg, M. T. (2005). Social networks and community prevention coalitions. The Journal of Primary Prevention, 26(4), 279–298. https://doi.org/https://doi.org/10.1007/s10935-005-5390-4
- Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215–239. https://doi.org/https://doi.org/10.1016/0378-8733(78)90021-7
- Fujimoto, K., Fujiyama, H., Li, D., & Schneider, J. A. (2018). Multiplex competition—Referral networks of social venues and of health organizations for young men who have sex with men. Sociological Theory and Methods, 33(1), 63–78. https://doi.org/https://doi.org/10.11218/ojjams.33.63
- Fujimoto, K, Hallmark, C. J., Mauldin, R. L., Kuo, J. C., Smith, C., Del Vecchio, N., Kuhns, L. M., Schneider, J. A., & Wang, P. (in press). Brokerage-centrality conjugates for multi-level organizational field networks: Toward a blockchain implementation to enhance coordination of healthcare delivery. In M. S. Weber & I. Yanovitzky (Eds.), Knowledge Brokers, and the Public Policymaking. Springer International Publishing.
- Fujimoto, K., Wang, P., Flash, C. A., Kuhns, L. M., Zhao, Y., Amith, M., & Schneider, J. A. (2019). Network modeling of PrEP uptake on referral networks and health venue utilization among young men who have sex with men. AIDS and Behavior, 23(7), 1698–1707. https://doi.org/http://doi.org/10.1007/s10461-018-2327-7
- Fujimoto, K., Wang, P., Kuhns, L. M., Ross, M. W., Williams, M. L., Garofalo, R., Klovdahl, A. S., Laumann, E. O., & Schneider, J. A. (2017). Multiplex competition, collaboration, and funding networks among health and social organizations. Medical Care, 55(2), 102–110. https://doi.org/http://doi.org/10.1097/MLR.0000000000000595
- Kapucu, N., & Hu, Q. (2014). Understanding multiplexity of collaborative emergency management networks. The American Review of Public Administration, 46(4), 399–417. https://doi.org/https://doi.org/10.1177/0275074014555645
- Kenis, P., & Knoke, D. (2002). How organizational field networks shape interorganizational tie-formation rates [article]. Academy of Management Review, 27(2), 275–293. https://doi.org/https://doi.org/10.5465/AMR.2002.6588029
- Kuhns, L. M., Hotton, A. L., Schneider, J., Garofalo, R., & Fujimoto, K. (2017). Use of pre-exposure prophylaxis (PrEP) in young men who have sex with men is associated with race, sexual risk behavior and peer network size. AIDS and Behavior, 21(5), 1376–1382. https://doi.org/https://doi.org/10.1007/s10461-017-1739-0F
- Luque, J., Martinez Tyson, D., Lee, J.-H., Gwede, C., Vadaparampil, S., Noel-Thomas, S., & Meade, C. (2010). Using social network analysis to evaluate community capacity building of a regional community Cancer network. Journal of Community Psychology, 38(5), 656–668. https://doi.org/https://doi.org/10.1002/jcop.20386
- Sánchez-Serrano, I. (2019). The core model: A collaborative paradigm for the pharmaceutical industry and global health care. Academic Press.
- Snijders, T. A. B., van de Bunt, G. G., & Steglich, C. E. G. (2010). Introduction to stochastic actor-based models for network dynamics. Social Networks, 32(1), 44–60. https://doi.org/https://doi.org/10.1016/j.socnet.2009.02.004
- White House Office of National AIDS Policy. (2015). National HIV/AIDS strategy: Updated to 2020. White House Office of National AIDS Policy. https://files.hiv.gov/s3fs-public/nhas-update.pdf.