A Reexamination of Connectivity Trends via Exponential Random Graph Modeling in Two IDU Risk Networks

REFERENCES

• Auerbach, J. D., Parkhurst J. O., & Cáceres C. F. (2011). Addressing social drivers of HIV/AIDS for the long-term response: Conceptual and methodological considerations. Global Public Health, 6(3 Suppl.), 293–309.
   PubMedGoogle Scholar
• Bearman, P. S., Moody, J., & Stovel, K. (2004). Chains of affection: The structure of adolescent romantic and sexual networks. American Journal of Sociology, 110(1), 44–91.
   Web of Science ®Google Scholar
• Bryant, J., & Hopwood, M. (2009). Secondary exchange of sterile injecting equipment in a high distribution environment: A mixed method analysis in south east Sydney, Australia. The International Journal on Drug Policy, 20(4), 324–328.
   PubMed Web of Science ®Google Scholar
• Costenbader, E. C., Astone, N. M., & Latkin, C. A. (2006). The dynamics of injection drug users’ personal networks and HIV risk behaviors. Addiction (Abingdon, England), 101(7), 1003–1013.
   PubMed Web of Science ®Google Scholar
• Curtis, R. (1996). The war on drugs in brooklyn, New York: Street-level drug markets and the tactical narcotics team. Doctoral dissertation. Teachers College, Columbia University.
   Google Scholar
• Curtis, R. (1998). The improbable transformation of inner-city neighborhoods: Crime, violence, drugs and youth in the 1990s. Journal of Criminal Law and Criminology, 88(4), 1223–1276.
   Web of Science ®Google Scholar
• Curtis, R., Friedman, S. R., Neaigus, A., Jose, B., Goldstein, M., & Ildefonso, G. (1995). Street-level drug markets: Network structure and HIV risk. Social Networks, 17(3–4), 229–249.
   Web of Science ®Google Scholar
• Curtis, R., & Sviridoff, M. (1994). The social organization of street-level drug markets and its impact on the displacement effect. In: R. McNamara (Ed.), Crime displacement (pp. 155–171). East Rockaway, NY: Cummings and Hathaway.
   Google Scholar
• Curtis, R., & Wendel, T. (2000). Toward the development of a typology of illegal drug markets. Crime Prevention Studies, 11, 121–152.
   Google Scholar
• Des Jarlais, D. C., McKnight, C., Goldblatt, C., & Purchase, D. (2009). Doing harm reduction better: Syringe exchange in the United States. Addiction (Abingdon, England), 104(9), 1441–1446.
   PubMed Web of Science ®Google Scholar
• Des Jarlais, D. C., Perlis, T., Friedman, S. R., Deren, S., Chapman, T., Sotheran, J. L., (1998). Declining seroprevalence in a very large HIV epidemic: Injecting drug users in New York City, 1991 to 1996. American Journal of Public Health, 88(12), 1801–1806.
   PubMed Web of Science ®Google Scholar
• Dombrowski, K., Curtis, R., Friedman, S. R., & Khan, B (2013). Topological and historical considerations for infectious disease transmission among injecting drug users in bushwick, Brooklyn (USA). World Journal of AIDS, 3(1), 1–9.
   PubMedGoogle Scholar
• Dombrowski, K., Khan, B., Wendel, T., McLean, M., Misshula, E., & Curtis, R. (2012). Estimating the size of the methamphetamine-using population in New York City using network sampling techniques. Advances in Applied Sociology, 2(4), 245–252.
   PubMedGoogle Scholar
• Frank, O., & Strauss, S. (1986). Markov graphs. Journal of the American Statistical Association, 81(395), 832–842.
   Web of Science ®Google Scholar
• Friedman, S. R., Furst, R. T., Jose, B., Curtis, R., Neaigus, A., Des Jarlais, D. C., (1998). Drug scene roles and HIV risk. Addiction (Abingdon, England), 93(9), 1403–1416.
   PubMed Web of Science ®Google Scholar
• Friedman, S. R., & Rossi, D. (2011). Dialectical theory and the study of HIV/AIDS and other epidemics.” Dialectical Anthropology, 35(4), 403–427.
   PubMedGoogle Scholar
• Friedman, S. R., Bolyard, M., Mateu-Gelabert, P., Goltzman, P., Pawlowicz, M. P., Singh, D. Z., (2007). Some data-driven reflections on priorities in AIDS network research. AIDS and Behavior, 11(5), 641–651.
   PubMed Web of Science ®Google Scholar
• Friedman, S. R., Curtis, R., Neaigus, A., Jose, B., & Des Jarlais, D. C. (2010). Social Networks, Drug Injectors’ Lives, and HIV/AIDS (1st ed.). Softcover of orig. ed. 1999 ed. Springer.
   Google Scholar
• Friedman, S. R., Curtis, R., Neaigus, A., Jose, B., & Des Jarlais, D. C. (2000). Network-related mechanisms may help explain long-term HIV-1 seroprevalence levels that remain high but do not approach population-group saturation. American Journal of Epidemiology, 152(10), 913–922.
   PubMed Web of Science ®Google Scholar
• Friedman, S. R., Kippax, S. C., Phaswana-Mafuya, N., Rossi, D., & Newman, C. E. (2006). Emerging future issues in HIV/AIDS social research. AIDS, 20(7), 959.
   PubMed Web of Science ®Google Scholar
• Friedman, S. R., Mateu-Gelabert, P., Curtis, R., Maslow, C., Bolyard, M., Sandoval, M., (2007). Social capital or networks, negotiations, and norms? A neighborhood case study. American Journal of Preventive Medicine, 32(6 Suppl.), S160–S170.
   PubMed Web of Science ®Google Scholar
• Friedman, S. R., Neaigus, A., Jose, B., Curtis, R., & Des Jarlais, D. C. (1998). Networks and HIV risk: an introduction to social network analysis for harm reductionists. International Journal of Drug Policy, 9(6), 461–469.
   Google Scholar
• Friedman, S. R., Neaigus, A., Jose, B., Curtis, R., Goldstein, M., Ildefonso, G., Rothenberg, R. B., (1997). Sociometric risk networks and risk for HIV infection. American Journal of Public Health, 87(8), 1289–1296.
   PubMed Web of Science ®Google Scholar
• Friedman, S. R., Rossi, D., & Braine, N. (2009). Theorizing ‘Big Events’ as a potential risk environment for drug use, drug-related harm and HIV epidemic outbreaks. International Journal of Drug Policy, 20(3), 283–291.
   PubMed Web of Science ®Google Scholar
• Goldstein, M. F., Friedman, S. R., Neaigus, A., Jose, B., Ildefonso, G., & Curtis, R. (1995). Self-reports of HIV risk behavior by injecting drug users: Are they reliable? Addiction (Abingdon, England), 90(8), 1097–1104.
   PubMed Web of Science ®Google Scholar
• Goodreau, S. M. (2007). Advances in exponential random graph (p*) models applied to a large social network. Social Networks, 29(2), 231–248.
   PubMed Web of Science ®Google Scholar
• Goodreau, S. M., Kitts, J. A., & Morris, M. (2009). Birds of a feather, or friend of a friend? Using exponential random graph models to investigate adolescent social networks. Demography, 46(1), 103–125.
   PubMed Web of Science ®Google Scholar
• Handcock, M. S. (2003). Assessing degeneracy in statistical models of social networks. Citeseer.
   Google Scholar
• Handcock, M. S., Hunter, D. R., Butts, C. T., Goodreau, S. M., & Morris, M. (2008). statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data. Journal of Statistical Software, 1548–7660.
   Google Scholar
• Holland, P. W., & Leinhardt, S. (1981). An exponential family of probability distributions for directed graphs. Journal of the American Statistical Association, 76(373), 33–50.
   Web of Science ®Google Scholar
• Hunter, D. R., Handcock, M. S., Butts, C. T., Goodreau, S. M., & Morris, M. (2008). ERGM: A package to fit, simulate and diagnose exponential-family models for networks. Journal of Statistical Software, 24(3), nihpa54860.
   PubMedGoogle Scholar
• Irwin, K., Karchevsky, E., Heimer, R., & Badrieva, L. (2006). Secondary syringe exchange as a model for HIV prevention programs in the Russian Federation. Substance Use & Misuse, 41(6–7), 979–999.
   PubMed Web of Science ®Google Scholar
• Jose, B., Friedman, S. R., Neaigus, A., Curtis, R., Grund, J. P., Goldstein, M. F., (1993). Syringe-mediated drug-sharing (backloading): A new risk factor for HIV among injecting drug users. AIDS (London, England), 7(12), 1653.
   PubMed Web of Science ®Google Scholar
• Klovdahl, A. S., Potterat, J. J., Woodhouse, D. E., Muth, J. B., Muth, S. Q., & Darrow, W. W. (1994). Social networks and infectious disease: The Colorado Springs study. Social science & medicine, 38(1), 79–88.
   PubMed Web of Science ®Google Scholar
• Kolaczyk, E. D. (2010). Statistical analysis of network data: Methods and models (1st ed.). Softcover of orig. ed. 2009 ed. Springer.
   Google Scholar
• Kottiri, B. J., Friedman, S. R., Neaigus, A., Curtis, R., & Des Jarlais, D. C. (2002). Risk networks and racial/ethnic differences in the prevalence of HIV infection among injection drug users. JAIDS Journal of Acquired Immune Deficiency Syndromes, 30(1), 95–104.
   PubMed Web of Science ®Google Scholar
• Latkin, C. A., Davey, M. A., & Hua, W. (2006). Social context of needle selling in Baltimore, Maryland. Substance Use & Misuse, 41(6–7), 901–913.
   PubMed Web of Science ®Google Scholar
• Morris, M., Handcock, M. S., & Hunter, D. R. (2008). Specification of exponential-family random graph models: Terms and computational aspects. Journal of Statistical Software, 24(4), 1548–7660.
   Google Scholar
• Neaigus, A., Friedman, S. R., Curtis, R., Des Jarlais, D. C., Terry Furst, R., Jose, B., (1994). The relevance of drug injectors’ social and risk networks for understanding and preventing HIV infection. Social Science & Medicine, 38(1), 67–78.
   PubMed Web of Science ®Google Scholar
• Neaigus, A., Friedman, S. R., Curtis, R., Des Jarlais, D. C., Terry Furst, R., Jose, B., (1995). Using dyadic data for a network analysis of HIV infection and risk behaviors among injecting drug users. NIDA Research Monograph, 151, 20–37.
   PubMedGoogle Scholar
• Ogden, J., Gupta, G. R., Warner, A., & Fisher, W. F. (2011). Revolutionising the AIDS response. Global Public Health, 6(3 Suppl.), 383–395.
   Google Scholar
• Potterat, J. J., Phillips-Plummer, L., Muth, S. Q., Rothenberg, R. B., Woodhouse, D. E., Maldonado-Long, T. S., (2002). Risk network structure in the early epidemic phase of HIV transmission in Colorado Springs. Sexually Transmitted Infections, 78(1 Suppl. 1), i159–i163.
   PubMedGoogle Scholar
• Potterat, J. J., Rothenberg, R. B., & Muth, S. Q. (1999). Network structural dynamics and infectious disease propagation. International Journal of STD & AIDS, 10(3), 182–185.
   PubMed Web of Science ®Google Scholar
• Potterat, J. J., Woodhouse, D. E., Rothenberg, R. B., Muth, S. Q., Darrow, W. W., Muth, J. B., & Reynolds, J. U. (1993). AIDS in Colorado Springs: Is there an epidemic? AIDS (London, England), 7(11), 1517–1521.
   PubMed Web of Science ®Google Scholar
• Robins, G., Pattison, P., Kalish, Y., & Lusher, D. (2007). An introduction to exponential random graph (p*) models for social networks. Social Networks, 29(2), 173–191.
   Web of Science ®Google Scholar
• Rothenberg, R. B., Potterat, J. J., & Woodhouse, D. E. (1996). Personal risk taking and the spread of disease: beyond core groups. The Journal of Infectious Diseases 174(2 Suppl.), S144–S149.
   PubMedGoogle Scholar
• Snijders, T. A., Pattison, P. E., Robins, G. L., & Handcock, M. S. (2006). New specifications for exponential random graph models. Sociological Methodology, 36(1), 99–153.
   Web of Science ®Google Scholar
• Snijders, T. A. B. (2002). Markov chain Monte Carlo estimation of exponential random graph models. Journal of Social Structure, 3(2), 1–40.
   Google Scholar
• Strauss, D., & Ikeda, M. (1990). Pseudolikelihood estimation for social networks. Journal of the American Statistical Association, 85, 204–212.
   Web of Science ®Google Scholar
• Tobin, K. E., Hua, W., Costenbader, E. C., & Latkin, C. A. (2007). The association between change in social network characteristics and non-fatal overdose: Results from the SHIELD study in Baltimore, MD, USA. Drug and Alcohol Dependence, 87(1), 63–68.
   PubMed Web of Science ®Google Scholar
• Wendel, J. T., Khan, B., Dombrowski, K., Curtis, R., McLean, K., Misshula, E., (2011). Dynamics of methamphetamine markets in New York City: Final Technical Report to the National Institute of Justice. https://www.ncjrs.gov/pdffiles1/nij/grants/ 236122.pdf
   Google Scholar
• Woodhouse, D. E., Rothenberg, R. B., Potterat, J. J., & Darrow, W. W. (1994). Mapping a social network of heterosexuals at high risk for HIV infection. AIDS; AIDS.
   Google Scholar