Co-evolution of selection and influence in social networks

Proceedings of the National Conference on Artificial Intelligence

Volumn 1, Issue , 2011, Pages 779-784

  Cho, Yoon Sik ^a   Ver Steeg, Greg ^a   Galstyan, Aram ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLOCKMODEL; CO-EVOLUTION; COMPLEX DYNAMICAL SYSTEMS; LINK STRUCTURE; NETWORK STRUCTURES; NODE ATTRIBUTE; REAL WORLD DATA; SOCIAL NETWORKS; VARIATIONAL INFERENCE;

COBALT COMPOUNDS; DYNAMICAL SYSTEMS; RANDOM PROCESSES; STOCHASTIC SYSTEMS;

ARTIFICIAL INTELLIGENCE;

EID: 80055043214     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Airoldi, E. M.; Blei, D. M.; Fienberg, S. E.; and Xing, E. P. 2008. Mixed membership stochastic blockmodels. Journal of Machine Learning Research 9:1981-2014.
2. Beal, M., and Ghahramani, Z. 2003. The variational bayesian em algorithm for incomplete data: with application to scoring graphical model structures. Bayesian Statistics 7:453-464.
3. Fan, Y., and Shelton, C. R. 2009. Learning continuous-time social network dynamics. In Proc. of the 25th Conference on Uncertainty in Artificial Intelligence, 161-168.
4. Fu, W.; Song, L.; and Xing, E. P. 2009. Dynamic mixed membership blockmodel for evolving networks. In Proc. of the 26th International Conference on Machine Learning.
5. Goldenberg, A.; Zheng, A. X.; Fienberg, S. E.; and Airoldi, E. M. 2010. A Survey of Statistical Network Models. Found. Trends Mach. Learn. 2(2):129-233.
6. Hanneke, S.; Fu, W.; and Xing, E. 2010. Discrete Temporal Models of Social Networks. Electronic Journal of Statistics 4:585-605.
7. Holland, P. W.; Laskey, K. B.; and Leinhardt, S. 1983. Stochastic blockmodels: First steps. Social Networks 5(2):109-137.
8. Maisel, L. S. 2010. Rating united states senators the strength of maines delegation since 1955. The New England Journal of Political Science 4(1).
9. McCarty, N.; Poole, K. T.; and Rosenthal, H. 2006. Polarized America: The Dance of Ideology and Unequal Riches. MIT Press.
10. Steglich, C.; Snijders, T. A. B.; and Pearson, M. 2010. Dynamic Networks and Behavior: Separating Selection from Influence. Sociological Methodology.
11. Xing, E.; Jordan, M.; and Russell, S. 2003. A generalized mean field algorithm for variational inference in exponential families. In Proc. of the 19th Conference on Uncertainty in Artificial Intelligence.