Network Resources

  • Datasets
  • Syllabi
  • Review and introductory articles:
    • Albert, R. & Barabasi, A.L. (2001). “Statistical Mechanics of Complex Networks.” Review of Modern Physics, 74(47).
    • Borgatti, S.P. & Foster, P. (2003). “The network paradigm in organizational research: A review and typology.” Journal of Management, 29(6): 991-1013.
    • Borgatti, S., Mehra, A., Brass, D., & Labianca, G. (2009). “Network Analysis in the Social Sciences.”Science, 323: 892-895.
    • Borgatti, S., Halgin, D. (2011). “On Network Theory.” Organization Science, (pre-print).
    • Brass, D.J., Galaskiewicz, J., Greve, H.R., & Tsai, W. (2004). “Taking Stock of Networks and Organizations: A Multilevel Perspective.” Academy Management Journal, 47: 795-817.
    • Goldenberg, A., Zheng, A., Fienberg, S., & Airoldi, E. (2009). “A Survey of Statistical Network Models.”Foundations and Trends in Machine Learning, 2(2): 1-117.
    • Holme, P., Saramaki, J. (2011). “Temporal Networks.” arXiv.
    • Newman, M.E.J. (2003). “The structure and function of complex networks.” SIAM Review, 45: 167-256.
    • Provan, K., Fish, A., Sydow, J. (2007). “Interorganizational Networks at the Network Level: A Review of the Empirical Literature on Whole Networks.” Journal of Management, 33(3): 479-516.
    • Scott, J. (1988). “Social Network Analysis.” Sociology, 22(1): 109-127.
    • Toivonen, R., Kovanen, L., Kivela, M., Onnela, J.P., Saramaki, J., Kaski, K. A comparative study of social network models: network evolution models and nodal attribute models” (2009). Social Networks, 31(4): 240-254.
    • Watts, D. J. (2004). “The ‘new’ science of networks.” Annual Review of Sociology, 30(1): 243-270.
    • Wellman, B. (1988). “Structural Analysis: From Method and Metaphor to Theory and Substance.” Chapter 2 (pp. 19-61) in Social Structures: A Network Approach, Wellman, B. & Berkowitz (Eds.). Cambridge University Press.

    Books:

    • Barrat, A., Barthelemy, M., Vespignani, A. (2008). Dynamical Processes on Complex Networks. Cambridge University Press.
    • Carrington, P.J., Scott, J., & Wasserman, S. (2005). Models and Methods in Social Network Analysis. Cambridge University Press.
    • de Nooy, W., Mrvar, A., & Batagelj, V. (2005). Exploratory Social Network Analysis with Pajek. Cambridge University Press.
    • Easley, D. & Kleinberg, J. (2010). Networks, Crowds, and Markets: Reasoning About a Highly Connected World. New York: Cambridge University Press.http://www.cs.cornell.edu/home/kleinber/networks-book/
    • Hanneman, R. A. & Riddle, M. (2005). Introduction to social network methods. Riverside, CA: University of California, Riverside. http://www.faculty.ucr.edu/~hanneman/nettext/
    • Hansen, D., Shneiderman, B., & Smith, M.A. (2010). Analyzing Social Media Networks with NodeXL: Insights From a Connected World. Morgan Kaufmann.
    • Kolaczyk, E.D. (2010). Statistical Analysis of Network Data: Methods and Models. Springer.
    • Monge, P. R. & Contractor, N. S. (2003). Theories of Communication Networks. New York: Oxford University Press. http://nosh.northwestern.edu/vita.html
    • Newman, M.E.J. (2010). Networks: An Introduction. Oxford University Press.
    • Newman, M.E.J., Barabasi, A.L., & Watts, D.J. (2006). The Structure and Dynamics of Networks. Princeton University Press.
    • Wasserman, S. & Faust, K. (1994). Social network analysis: Methods and applications. New York: Cambridge University Press.
  • ERGM/p*
    • Anderson, C. J., Wasserman, S. and Crouch, B. (1999) “A p* primer: logit models for social networks.”Social Networks, 21: 37-66. <- start here
    • 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. <- or here
    • Faust, K. & Skvoretz, J. (2002). “Comparing Networks Across Space and Time, Size and Species.”Sociology Methodology, 32(1): 267-299.
    • Goodreau, S. M. (2007). “Advances in exponential random graph (p*) models applied to a large social network.” Social Networks, 28: 231-248.
    • Goodreau, S.M., Kitts, J.A., and Morris, M. (2009). “Birds of a Feather, Or Friend of a Friend?: Using Exponential Random Graph Models to Investigate Adolescent Social Networks.” Demography46(1):103-125.
    • Robins, G., Pattison, P. & Woolcock, J. (2005). “Small and other worlds: Global network structures from local processes.” American Journal of Sociology, 110(4): 894-936.
    • Robins, G., Snijders, T., Wang, P., Handcock, M., & Pattison, P. (2007). “Recent developments in exponential random graph (p*) models for social networks.” Social Networks, 29: 192-215.
    • Snijders, T.A.B., Pattison, P.E., Robins, G.L., Handcock, M.S. (2006). “New Specifications for Exponential Random Graph Models.” Sociological Methodology, 36(1): 99-153.
    • Wang, P., Sharpe, K., Robins, G.L., Pattison, P.E. (2009). “Exponential random graph (p*) models for affiliation networks.” Social Networks, 31(1): 12-25.
    • 2005 Sunbelt Bibliography:http://csde.washington.edu/statnet/Resources/Sunbelt2005/bibliography.pdf
    • Statnet project bibliography: http://statnetproject.org/jssbiblio.pdf
    • Presentations

    SIENA

    • Snijders, T.A.B. “Chapter 11: Models for Longitudinal Network Analysis.” in P. Carrington, J. Scott, and S. Wasserman (Eds). Models and Methods in Social Network Analysis. Cambridge University Press.
    • Snijders, T.A.B., Steglich, C.E.G., and van de Bunt, G.G. (2010). ” Introduction to actor-based models for network dynamics.” Social Networks, 32: 44-60.
    • Pearson, M., Steglich, C., & Snijders, T. (2006). “Homophily and assimilation among sport-active adolescent substance users.” Connections, 27(1): 47-63.
    • Steglich, C., Snijders, T., West, P. (2006). “Applying SIENA: An illustrative analysis of the co-evolution of adolescents’ friendship networks, taste in music, and alcohol consumption.” Methodology, 2(1): 48-56.
    • Palazzolo, E. T., Serb, D., She, Y., Su, C., & Contractor, N. S. (2006). “Co-evolution of communication and knowledge networks as Transactive Memory systems: Using computational models for theoretical integration and extensions.” Communication Theory, 16: 223-250.
    • Literature using SIENA: http://www.stats.ox.ac.uk/~snijders/siena/
    • Presentations

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