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References

  • Abrahamson, E., & Rosenkopf, L. (1997). Social network effects on the extent of innovation diffusion: A computer simulation. Organization Science, 8, 3), 289309.
  • Burke, P., & Reitzes, D. (1991). An identify theory approach to commitment. Social Psychology Quarterly, 54, 3), 239251.
  • Burt, R. S. (1987). Social contagion and innovation: Cohesion versus structural equivalence. American Journal of Sociology, 92, 6), 12871335.
  • Burt, R. S. (1999). The social capital of opinion leaders. The Annals of the American Academy of Political and Social Science, 566, 1), 3754.
  • Byrne, D. E. (1971). The attraction paradigm. New York, NY: Academic Press.
  • Coleman, J. (1988). Social capital in the creation of human-capital. American Journal of Sociology, 94, S95S120.
  • Coleman, J., Katz, E., & Menzel, H. (1966). Medical innovation: A diffusion study. New York, NY: Bobbs Merrill.
  • Cosley, D., Frankowski, D., Terveen, L., & Riedl, J. (2006). Using intelligent task routing and contribution review to help communities build artifacts of lasting value. In R.Grinter, T.Rodden, P.Aoki, E.Cutrell, R.Jeffries & G.Olson (Eds.), Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 10371046). Montréal, Québec, Canada: ACM New York, NY, USA.
  • Cosley, D., Frankowski, D., Terveen, L., & Riedl, J. (2007). SuggestBot: using intelligent task routing to help people find work in Wikipedia. In Proceedings of International Conference on Intelligent User Interfaces (pp. 3241). New York, NY: ACM.
  • Crandall, D., Cosley, D., Huttenlocher, D., Kleinberg, J., & Suri, S. (2008). Feedback effects between similarity and social influence in online communities. In Proceeding of the 14th ACM SIGKDD international Conference on Knowledge Discovery and Data Mining (pp. 160168). New York, NY: ACM.
  • Cummings, J. N., Butler, B., & Kraut, R. (2002). The quality of online social relationships. Communications of the ACM, 45, 7), 103108.
  • DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48, 2), 147160.
  • Earp, J. A., Eng, E., O’Malley, M. S., Altpeter, M., Rauscher, G., Mayne, L., et al. (2002). Increasing use of mammography among older, rural African American women: Results from a community trial. American Journal of Public Health, 92, 4), 646654.
  • Fox, J. (1991). Regression diagnostics. Newbury Park, CA: Sage Publications.
  • Fox, J. (2002). An R and S-Plus companion to applied regression. Newbury Park, CA: Sage publications.
  • Garson, G. D. (2008). Logistic regression, from Statnotes: Topics in multivariate analysis. Retrieved on 03/31/09 from http://faculty.chass.ncsu.edu/garson/PA765/statnote.htm
  • Hechter, M. (1987). Principles of group solidarity. Berkely, CA: University of California Press.
  • Ibarra, H. (1992). Homophily and differential returns: Sex differences in network structure and access in an advertising firm. Administrative Science Quarterly, 37, 3), 422447.
  • Joyce, E., & Kraut, R. E. (2006). Predicting continued participation in newsgroups. Journal of Computer-Mediated Communication, 11, 3), 723747.
  • Kanter, R. M. (1972). Commitment and community: Communes and utopias in sociological perspective. Cambridge, MA: Harvard University Press.
  • Karau, S. J., & Williams, K. D. (1993). Social loafing: A meta-analytic review and theoretical integration. Journal of Personality and Social Psychology, 65, 4), 681706.
  • King, G., & Zeng, L. (2001). Logistic Regression in rare event data. Political Analysis, 9, 2), 137163.
  • Kraut, R. E. (2003). Applying social psychological theory to the problems of group work. In J.Carroll (Ed.), HCI models, theories and frameworks: Toward a multidisciplinary science (pp. 325356). New York: Morgan Kaufman.
  • Lakhani, K. R., & Hippel, E. V. (2003). How open source software works: “Free” user to user assistance. Research Policy (Special Issue), 32, 6), 923943.
  • Ling, K., Beenen, G., Ludford, P., Wang, X. Q., Chang, K., Li, X., et al. (2005). Using social psychology to motivate contributions to online communities. Journal of Computer-Mediated Communication, 10, 4). Retrieved on 11/30/2008 from http://jcmc.indiana.edu/vol10/issue4/ling.html.
  • Ludford, P. J., Cosley, D., Frankowski, D., & Terveen, L. (2004). Think different: Increasing online community participation using uniqueness and group dissimilarity. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 631638). New York, NY: ACM.
  • Marwell, G., & Oliver, P. (1993). The critical mass in collective action: A micro-social theory. New York, NY: Cambridge University Press.
  • McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27, 415444.
  • Menard, S. (2002). Applied logistic regression analysis. Thousand Oaks, CA: Sage.
  • Mockus, A., Fielding, R. T., & Andersen, H. (2002). Two case studies of open source software development: Apache and Mozilla. ACM Transactions on Software Engineering and Methodology, 11, 3), 309346.
  • Monge, P. R., & Contractor, N. (2003). Theories of communication networks. New York, NY: Oxford University Press.
  • Oliver, P., & Marwell, G. (2001). Whatever happened to critical mass theory? A retrospective and assessment. Sociological Theory, 19, 3), 292311.
  • Olson, M. J. (1965). The logic of collective action. Cambridge, MA: Harvard University Press.
  • Osborne, J. (2002). Notes on the use of data transformations. Practical Assessment, Research & Evaluation, 8, 6). Retrieved on 11/30/2008 from http://PAREonline.net/getvn.asp?v=8&n=6
  • Preece, J., & Maloney-Krichmar. (2005). Online communities: Design, theory and practice. Journal of Computer-Mediated Communication, 10, 4). Retrieved on 11/30/2008 from http://www3.interscience.wiley.com/cgi-bin/fulltext/120837966/HTMLSTART.
  • Pregibon, D. (1981). Logistic regression diagnostics. The Annals of Statistics, 9, 4), 705724.
  • Rogers, E. M. (2003). Diffusion of innovation (5th ed.). New York, NY: Free Press.
  • Rogers, E. M., & Kincaid, D. L. (1981). Communication networks: Toward a new paradigm for research. New York, NY: Free Press.
  • Rogers, E. M., & Shoemaker, F. E. (1971). Communication of innovations: A cross-cultural approach. New York: Free Press.
  • Scott, J. (1991/2004). Social network analysis. Thousand Oaks, CA: Sage.
  • Stolley, P. D., & Schlesselman, J. J. (1982). Case-control studies: Design, conduct, analysis. Oxford: Oxford University Press.
  • Strang, D., & Soule, S. A. (1998). Diffusion in organizations and social movements: From hybrid corn to poison pills. Annual Review of Sociology, 24, 265290.
  • Tabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York, NY: HarperCollins Publisher
  • Turner, J. C. (1987). Rediscovering the social group: A self-categorization theory. Oxford, UK: Basil Blackwell.
  • Turner, T., Smith, M. A., Fisher, D., & Welser, H. T. (2005). Picturing Usenet: Mapping computer-mediated collective action. Journal of Computer-Mediated Communication, 10, 4). Retrieved on 11/30/2008 from http://www3.interscience.wiley.com/cgi-bin/fulltext/120837981/HTMLSTART.
  • Valente, T. W. (1996). Social network thresholds in the diffusion of innovations. Social Networks, 18, 1), 6989.
  • Wejnert, B. (2002). Integrating models of diffusion of innovations: A conceptual framework. Annual review of sociology, 28, 297326.
  • Welser, H. T., Gleave, E., Fisher, D., & Smith, M. A. (2007). Visualizing the signatures of social roles in online discussion groups. Journal of Social Structure, 8, 2). Retrieved on 11/30/2008 from http://www.cmu.edu/joss/content/articles/volume8/Welser/.
  • Welser, H. T., Smith, M. A., Gleave, E., & Fisher, D. (2008). Distilling digital traces: Computational social science approaches to studying the Internet. In N.Fielding, R. L.Lee & G.Grant (Eds.), Handbook of online research methods (pp. 116140). London: Sage Publications.
  • Yuan, Y. C., Fulk, J., Shumate, M., Monge, P., Bryant, J. A., & Matsaganis, M. (2005). Individual participation in organizational information commons: The impact of team level social influence and technology-specific competence. Human Communication Research, 31, 2), 212240.
  • Yuan, Y. C., & Geri, G. (2006). Homophily of network ties, and bonding and bridging social capital in distributed teams. Journal of Computer-Mediated Communication, 11, 4), 10621084.