Academic researchers have deployed in the last decade several innovative approaches to studying social networking and via graph and complexity analysis. Here is a sampler of most intriguing papers:
1. Critical mass and willingness to pay for social networks
2.NodeXL: Network Overview, Discovery and Exploration
3. Email networks have backbones too…
4. How to derive social networks from web forum, chat, or
5. Using Social Network to Predict the Behavior of Active
6. A definition for emergence
7. MEJ Newman’s papers at xarchiv
8. Finding Community Structure in Mega-scale Social
9. Wow: An Algorithm for calculating community structure
10. Community structure in directed networks
11. Maps of random walks on complex networks reveal
12. Finding community structure in networks using the
13. Offdiagonal complexity: measuring network complexity
A more complete list, including specific citations…
Barabási, A. (2009). Scale-free networks: a decade and beyond. Science (New York, N.Y.), 325(5939), 412-3. doi: 10.1126/science.1173299.
Beschastnikh, I., Kriplean, T., & Mcdonald, D. W. (n.d.). Wikipedian Self-Governance in Action : Motivating the Policy Lens. Artificial Intelligence.
Buriol, L., Castillo, C., Donato, D., Leonardi, S., & Millozzi, S. (2006). Temporal analysis of the wikigraph. In IEEE/WIC/ACM International Conference on Web Intelligence, 2006. WI 2006 (p. 45–51). Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4061340.
Butts, C. T. (2009). Revisiting the foundations of network analysis. Science (New York, N.Y.), 325(5939), 414-6. doi: 10.1126/science.1171022.
Claussen, J. (2007). Offdiagonal complexity: A computationally quick complexity measure for graphs and networks. Physica A: Statistical Mechanics and its Applications, 375(1), 365–373. Elsevier. Retrieved from http://linkinghub.elsevier.com/retrieve/pii/S0378437106009484.
Coman, M. (2004). Media Bourgeoisie and Media Proletariat in. Journalism, 5(1). doi: 10.1080/1461670032000174738.
Eguiluz, V. M., Zimmermann, M. G., Cela?Conde, C. J., & Miguel, M. S. (2005). Cooperation and the Emergence of Role Differentiation in the Dynamics of Social Networks. American Journal of Sociology, 110(4), 977-1008. doi: 10.1086/428716.
Forte, A., & Bruckman, A. (n.d.). Scaling Consensus : Increasing Decentralization in Wikipedia Governance Andrea Forte and Amy Bruckman. Interpreting, 15-17.
Fuchs-kittowski, F. (2005). Wiki Communities in the Context of Work Processes. Search, 33-39.
Hollan, J., Hutchins, E., & Kirsh, D. (2000). Distributed Cognition : Toward a New Foundation for Human-Computer Interaction Research, 7(2), 174 -196.
Kittur, A., Chi, E., Pendleton, B. A., Suh, B., & Mytkowicz, T. (2007). Power of the few vs. wisdom of the crowd: Wikipedia and the rise of the bourgeoisie. in Proceedings of the 25th Annual ACM Conference on Human Factors in Computing Systems (CHI.
Kittur, A., Suh, B., Pendleton, B. A., Chi, E. H., Angeles, L., Alto, P., et al. (2007). He Says , She Says : Conflict and Coordination in Wikipedia. Conflict.
Kolbitsch, J., & Maurer, H. (n.d.). Community Building around Encyclopaedic Knowledge †. Journal of Computing and Information Technology, 1-14.
Korfiatis, N. T., Poulos, M., & Bokos, G. (2006). Evaluating authoritative sources using social networks: an insight from Wikipedia. Online Information Review, 30(3), 252-262. doi: 10.1108/14684520610675780.
Kuk, G. (2006). Strategic Interaction and Knowledge Sharing in the KDE Developer Mailing List. Management Science, 52(7), 1031-1042. doi: 10.1287/mnsc.1060.0551.
Luther, M., & Jr, K. (2009). Connections Complex. Science.
Lutkenhouse, T., Nelson, M. L., & Bollen, J. (2005). Distributed , Real-Time Computation of Community Preferences. Work, 88-97.
Matei, S. A., Bruno, R. J., Faiola, A., & Morris, P. L. (2010). Visible Effort : A Social Entropy Methodology for Managing Computer-Mediated Collaborative Learning.
Matei, S. A., Gehringer, E., Kisselburgh, L. G., Britt, B. C., Lee, S., Petrache, I., et al. (n.d.). Visible Symbiosis : A Social Media Platform for Large-scale Collaboration. Artificial Intelligence.
Osgood, C., & Wilson, K. (1961). Some Terms and Associated Measures for Talking About Human Communication. Institute of Communications Re-search. Urbana, The University of Illinois. Retrieved from http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:SOME+TERMS+AND+ASSOCIATED+MEASURES+FOR+TALKING+ABOUT#0.
Otto, P., & Simon, M. (2008). Dynamic perspectives on social characteristics and sustainability in online community networks. System Dynamics Review, 24(3), 321–347. John Wiley & Sons. Retrieved from http://www3.interscience.wiley.com/journal/121519001/abstract.
Preece, J. (2001). Sociability and usability in online communities: determining and measuring success. Behaviour & Information Technology, 20(5), 347-356. doi: 10.1080/01449290110084683.
Vespignani, A. (2009). Predicting the behavior of techno-social systems. Science (New York, N.Y.), 325(5939), 425-8. doi: 10.1126/science.1171990.
Voida, A., Voida, S., Greenberg, S., & He, H. A. (2008). Asymmetry in Media Spaces. Group, 1-10.
Welser, H., Kossinets, G., Marc, S., & Cosley, D. (2008). Finding social roles in wikipedia. In annual meeting of the American Sociological Association, Boston, MA, AllAcademic (pp. 1-11). Retrieved from http://www.cs.cornell.edu/~danco/research/papers/wp-roles-welser-asa2008.pdf.
Wikipedia, M. (2005). Measuring Wikipedia. Growth (Lakeland), 1-12.
Yuan, Y. C., Fulk, J., & Monge, P. R. (2007). Access to Information in Connective and Communal Transactive Memory Systems. Communication Research, 34(2), 131-155. doi: 10.1177/0093650206298067.
Yuan, Y., Fulk, J., Shumate, M., Monge, P. R., Bryant, J. A., Matsaganis, M., et al. (2005). Individual Participation in Organizational Information Commons. Human Communication Research, 31(2), 212-240. doi: 10.1111/j.1468-2958.2005.tb00870.x.
Zlati?, V., Boži?evi?, M., Štefan?i?, H., & Domazet, M. (2006). Wikipedias: Collaborative web-based encyclopedias as complex networks. Physical Review E, 74(1), 1-9. doi: 10.1103/PhysRevE.74.016115.
Žiberna, A., & Vehovar, V. (2009). Using social network to predict the behavior of active members of online communities. Networks. doi: 10.1109/ASONAM.2009.24.
