Cancer talk on twitter: Community structure and information sources in breast and prostate cancer social networks

Journal of Health Communication

Volumn 19, Issue 2, 2014, Pages 210-225

  Himelboim, Itai ^a   Han, Jeong Yeob ^a  

^a UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BREAST TUMOR; FEMALE; HUMAN; INFORMATION DISSEMINATION; INTERNET; MALE; METHODOLOGY; PROSTATE TUMOR; SOCIAL SUPPORT; UTILIZATION REVIEW;

BREAST NEOPLASMS; FEMALE; HUMANS; INFORMATION DISSEMINATION; INTERNET; MALE; PROSTATIC NEOPLASMS; SOCIAL SUPPORT;

EID: 84894523399     PISSN: 10810730     EISSN: 10870415     Source Type: Journal    
DOI: 10.1080/10810730.2013.811321     Document Type: Article

References (36)

1. Adamic, L., & Glance, N. (2005). The political blogoshphere and the 2004 U.S. election: Divided they blog. Retrieved from http://www.blogpulse.com/ papers/2005/AdamicGlanceBlogWWW.pdf
2. Aiello, W., Chung, F., & Lu, L. (2000). Random evolution in massive graphs. In Proceedings of the Thirty-second Annual ACM Symposium on Theory of Computing (pp. 171-180). New York, NY: ACM
3. Barabási, A. L., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., & Vicsek, T. (2000). Evolution of the social network of scientific collaborations. Physica A, 311(3-4), 590-614
4. Barash, V., &, Golder, S. (2010). Twitter: Conversation, entertainment, and information, all in one network! In D. L. Hansen, B. Shneiderman, & M. A. Smith (Eds.), Analyzing social media networks with NodeXL: Insights from a connected world (pp. 143-164). Burlington, MA: Elsevier
5. Bott, E. (1971). Family and social networks: Roles, norms and external relationships in ordinary urban families. New York, NY: Free Press
6. Bright, M. A., Fleisher, L., Thomsen, C., Morra, M. E., Marcus, A., & Gehring, W. (2005). Exploring e-health usage and interest among cancer information service users: The need for personalized interactions and multiple channels remains. Journal of Health Communi'cation, 10(Suppl. 1), 35-52
7. Broder, A., Kumar, R., Maghoul, F., Raghavan, P., Rajagopalan, S., Stata, R., Wiener, J. (2000). Graph structure in the web. Computer Networks, 33, 309-320
8. Carrington, P. J., Scott, J., & Wasserman, S. (2005). Models and methods in social network analy'sis. New York, NY: Cambridge University Press
9. Dodds, P. S., Muhamad, R., & Watts, D. J. (2003). An experimental study of search in global social networks. Science, 301, 827. doi: 10.1126/science.1081058
10. Eysenbach, G. (2008). Medicine 2.0: Social networking, collaboration, participation, apomedia'tion, and openness. Journal of Medical Internet Research, 10, e22. doi: 10.2196/jmir.1030
11. Faloutsos, M., Faloutsos, P., & Faloutsos, C. (1999). On power-law relationships of the Internet topology. In Proceedings of the Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication (pp. 251-262). New York, NY: ACM
12. Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 81, 1287-1303
13. Greene, J., Choudhry, N., Kilabuk, E., & Shrank, W. (2011). Online social networking by patients with diabetes: A qualitative evaluation of communication with Facebook. Journal of General Internal Medicine, 26, 287-292. doi: 10.1007/s11606-010-1526-3
14. Han, J. Y. (2011). Transaction logfile analysis in health communication research: Challenges and opportunities. Patient Education and Counseling, 82, 307-312
15. Han, J. Y., Hawkins, R. P., Shaw, B., Pingree, S., McTavish, F., & Gustafson, D. (2009). Unraveling uses and effects of an interactive health communication system. Journal of Broadcasting & Electronic Media, 53, 112-133
16. Han, J. Y., Shah, D. V., Kim, E., Namkoong, K., Lee, S. Y., Moon, T. J., Gustafson, D. H. (2011). Empathic exchanges in online cancer support groups: Distinguishing message expression and reception effects. Health Communication, 26, 185-197
17. Han, J. Y., Wise, M., Kim, E., Pingree, R., Hawkins, R., Pingree, S., McTavish, F., & Gustafson, D. (2010). Factors associated with use of interactive cancer communication system: An application of the Comprehensive Model of Information Seeking (CMIS). Journal of Computer-Mediated Communication, 15, 367-388
18. Hesse, B. W., Nelson, D. E., Kreps, G. L., Croyle, R. T., Arora, N. K., Rimer, B. K., & Viswanath, K. (2005). Trust and sources of health information: The impact of the Internet and its implications for health care providers: Findings from the first Health Informa'tion National Trends Survey. Archives of Internal Medicine, 165, 2618-2624. doi: 10.1001/archinte.165.22.2618
19. Himelboim, I., McCreery, S., & Smith, M. (2011). Birds of a feather tweet together: Integrating network and content analyses to examine cross-ideology exposure on Twitter. Paper presented at the International Communication Association Annual Conference, May 26-31, Boston, MA.
20. Huberman, B. A., & Adamic, L. A. (1999). Growth dynamics of the World-Wide Web. Nature, 401, 131. doi: 10.1038/43604
21. Jeong, H., Tombor, B., Albert, R., Oltvai, Z. N., & Barabási, A. L. (2000). The large-scale organization of metabolic networks. Nature, 407, 65. doi: 10.1038/35036627
22. Morrison, E. W. (2002). Newcomers' relationships: The role of social network ties during socialization. Academy of Management Journal, 45, 1149-1160
23. Nagler, R. H., Gray, S. W., Romantan, A., Kelly, B. J., DeMichele, A., Armstrong, K., Hornik, R. C. (2010). Differences in information seeking among breast, prostate, and colorectal cancer patients: Results from a population-based survey. Patient Education and Coun'seling, 81, S54-S62
24. Newman, M. (2001). Clustering and preferential attachment in growing networks. Physical Review E, 64: 025102. doi: 10.1103/PhysRevE.64.025102
25. Newman, M. E. J. (2004). Detecting community structure in networks. European Physical Jour'nal B, 38, 321-330
26. Pew Internet and American Life Project. (2009). The social life of health information. Retrieved from http://www.pewinternet.org/Reports/2009/8-The- Social-Life-of-Health-Information.aspx
27. Pew Internet and American Life Project. (2011). Social networking sites and our lives. Retrieved from http://pewinternet.org/Reports/2011/Technology- and-social-networks/Summary/ Findings.aspx
28. Preece, J., & Ghozati, K. (2001). Observations and explorations of empathy online. In R. R. Rice and J. E. Katz (Eds.), The Internet and health communication: Experience and expecta'tions (pp. 237-260). Thousand Oaks, CA: Sage
29. Raban, D. R., & Rabin, E. (2007). The power of assuming normality. In Proceedings of the European and Mediterranean Conference on Information Systems 2007. Valencia, Spain: Polytechnic University of Valencia, Spain
30. Rubin, A. M. (1983). Television uses and gratifications: The interactions of viewing patterns and motivations. Journal of Broadcasting, 27, 37-51
31. Vance, K., Howe, W., & Dellavalle, R. P. (2009). Social Internet sites as a source of public health information. Dermatologic Clinics, 27, 133-136
32. Villagran, M. (2011). Methodological diversity to reach patients along the margins, in the shad'ows, and on the cutting edge. Patient Education and Counseling, 82, 292-297
33. Wakita, K., & Tsurumi, T. (2007). Finding community structure in megascale social networks. In Proceedings of the 16th International Conference on World Wide Web (pp. 1275-1276). New York, NY: ACM Press
34. Wasserman, S., & Faust, K. (1999). Social network analysis: Methods and applications. New York, NY: Cambridge University Press
35. Wellman, S., Dimitrova, G., & Haythornthwaite, G. (1996). Computer networks as social networks: Collaborative work, telework, and Virtual Community. Annual Review of Sociology, 22, 213-238
36. Wilson, F. (2008). Slide, Zynga, and Rock You: Facebook apps follow power law. Business Insider. Retrieved from http://www.businessinsider.com/2008/2/ slide-zynga-and-rock-you-facebook-apps-follow-power-law