Understanding interactions in virtual HIV communities: a social network analysis approach

References

• Airhihenbuwa, C. O., & Obregon, R. (2000). A critical assessment of theories/models used in health communication for HIV/AIDS. Journal of Health Communication, 5, 5–15. doi:10.1080/10810730050019528
   PubMed Web of Science ®Google Scholar
• Barabási, A. L. (2009). Scale-free networks: A decade and beyond. Science, 325, 412–413. doi:10.1126/science.1173299
   PubMed Web of Science ®Google Scholar
• Baym, N. K., & Ledbetter, A. (2009). Tunes that bind? Predicting friendship strength in a music-based social network. Information, Communication & Society, 12, 408–427. doi:10.1080/13691180802635430
   Web of Science ®Google Scholar
• Block, P., & Grund, T. (2014). Multidimensional homophily in friendship networks. Network Science, 2, 189–212. doi:10.1017/nws.2014.17
   Google Scholar
• Burt, R. S. (1991). Measuring age as a structural concept. Social Networks, 13, 1–34. doi:10.1016/0378-8733(91)90011-H
   Web of Science ®Google Scholar
• Chen, L., & Shi, J. (2015). Social support exchanges in a social media community for people living with HIV/AIDS in China. AIDS Care, 27, 693–696. doi:10.1080/09540121.2014.991678
   PubMed Web of Science ®Google Scholar
• Cranmer, S. J., & Desmarais, B. A. (2011). Inferential network analysis with exponential random graph models. Political Analysis, 19, 66–86. doi:10.1093/pan/mpq037
   Web of Science ®Google Scholar
• Faraj, S., & Johnson, S. L. (2011). Network exchange patterns in online communities. Organization Science, 22, 1464–1480. doi:10.1287/orsc.1100.0600
   Web of Science ®Google Scholar
• Handcock, M., Hunter, D., Butts, C., Goodreau, S., & Morris, M. (2008). Statnet: Software tools for the representation, visualization, analysis and simulation of network data. Journal of Statistical Software, 24, 1–11. Retrieved from http://www.jstatsoft.org/v24/i01 doi: 10.18637/jss.v024.i01
   PubMedGoogle Scholar
• Hunter, D. R. (2007). Curved exponential family models for social networks. Social Networks, 29, 216–230. doi:10.1016/j.socnet.2006.08.005
   PubMed Web of Science ®Google Scholar
• Johnson, S. L., Faraj, S., & Kudaravalli, S. (2014). Emergence of power laws in online communities: The role of social mechanisms and preferential attachment. MIS Quarterly, 38, 795–808.
   Web of Science ®Google Scholar
• Kossinets, G., & Watts, D. J. (2009). Origins of homophily in an evolving social network. American Journal of Sociology, 115, 405–450. doi:10.1086/599247
   Web of Science ®Google Scholar
• Krippendorff, K. (2011, July 7). Computing Krippendorff’s alpha-reliability. Retrieved August 10, 2014, from http://repository.upenn.edu/asc_papers/43
   Google Scholar
• Lewis, K., Gonzalez, M., & Kaufman, J. (2012). Social selection and peer influence in an online social network. Proceedings of the National Academy of Sciences, 109, 68–72. doi:10.1073/pnas.1109739109
   PubMed Web of Science ®Google Scholar
• Lieberson, S. (1980). A piece of the pie. Berkeley: University of California Press.
   Google Scholar
• Lusher, D., Koskinen, J., & Robins, G. (2013). Exponential random graph models for social networks: Theory, methods and applications. New York, NY: Cambridge University Press.
   Google Scholar
• Marsden, P. V. (1988). Homogeneity in confiding relations. Social Networks, 10, 57–76. doi:10.1016/0378-8733(88)90010-X
   Web of Science ®Google Scholar
• McPherson, J. M., & Smith-Lovin, L. (1987). Homophily in voluntary organizations: Status distance and the composition of face-to-face groups. American Sociological Review, 52, 370–379. Retrieved from http://www.jstor.org/stable/2095356 doi: 10.2307/2095356
   Web of Science ®Google Scholar
• McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology. Retrieved from http://www.jstor.org/stable/2678628
   Web of Science ®Google Scholar
• Milgram, S. (1967). The small-world problem. Psychology Today, 1, 61–67. Retrieved from http://snap.stanford.edu/class/cs224w-readings/milgram67smallworld.pdf
   Google Scholar
• Parker, R. (2001). Sexuality, culture, and power in HIV/AIDS research. Annual Review of Anthropology, 30, 163–179. doi: 10.1146/annurev.anthro.30.1.163
   Web of Science ®Google Scholar
• Peng, T. Q., Liu, M., Wu, Y., & Liu, S. (2014). Follower-followee network, communication networks, and vote agreement of the U.S. members of congress. Communication Research. Advance online publication. doi:10.1177/0093650214559601
   PubMed Web of Science ®Google Scholar
• Preece, J., & Ghozati, K. (2001). Experiencing empathy online. In R. E. Rice & J. E. Katz (Eds.), The Internet and health communication: Experiences and expectations (pp. 237–261). Thousand Oaks, CA: Sage.
   Google Scholar
• Richardson, H. M. (1940). Community of values as a factor in friendships of college and adult women. The Journal of Social Psychology, 11, 303–312. doi:10.1080/00224545.1940.9918751
   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, 173–191. doi:10.1016/j.socnet.2006.08.002
   Web of Science ®Google Scholar
• Russell, M. A. (2013). Mining the social web: Data mining Facebook, Twitter, LinkedIn, Google+, GitHub, and more. Sebastopol, CA: O’Reilly Media.
   Google Scholar
• Scott, J. (2013). Social network analysis (3rd ed.). Thousand Oaks, CA: Sage.
   Google Scholar
• Shi, J., & Chen, L. (2014). Social support on Weibo for people living with HIV/AIDS in China: A quantitative content analysis. Chinese Journal of Communication, 7, 285–298. doi:10.1080/17544750.2014.926954
   Web of Science ®Google Scholar
• Simoni, J. M., Frick, P. A., & Huang, B. (2006). A longitudinal evaluation of a social support model of medication adherence among HIV-positive men and women on antiretroviral therapy. Health Psychology, 25, 74–81. doi:10.1037/0278-6133.25.1.74
   PubMed Web of Science ®Google Scholar
• Snijders, T. A. B., Pattison, P. E., Robins, G. L., & Handcock, M. S. (2006). New specifications for exponential random graph models. Sociological Methodology, 36, 99–153. doi:10.1111/j.1467-9531.2006.00176.x
   Web of Science ®Google Scholar
• Utz, S., & Jankowski, J. (2015). Making “friends” in a virtual world: The role of preferential attachment, homophily, and status. Social Science Computer Review. Advance online publication. doi:10.1177/0894439315605476
   Web of Science ®Google Scholar
• Valente, T. W. (2010). Social networks and health: Models, methods, and applications. Oxford: Oxford University Press.
   Google Scholar
• Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of “small-world” networks. Nature, 393, 440–442. doi:10.1038/30918
   PubMed Web of Science ®Google Scholar
• Welles, B. F., & Contractor, N. (2015). Individual motivations and network effects: A multilevel analysis of the structure of online social relationships. The ANNALS of the American Academy of Political and Social Science, 659, 180–190. doi:10.1177/0002716214565755
   Web of Science ®Google Scholar
• Wellman, B., & Gulia, M. (1998). Virtual communities as communities: Net surfers don’t ride alone. In P. Kollock & M. Smith (Eds.), Communities in cyberspace (pp. 167–194). London: Routledge.
   Google Scholar
• Yang, S. H., Long, B., Smola, A., Sadagopan, N., Zheng, Z., & Zha, H. (2011). Like like alike – joint friendship and interest propagation in social networks. In Proceedings of the 20th international conference on world wide web, India (pp. 537–546). doi:10.1145/1963405.1963481
   Google Scholar