Topic and role discovery in social networks

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2005, Pages 786-791

  McCallum, Andrew ^a   Corrada Emmanuel, Andrés ^a   Wang, Xuerui ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ART MODEL; E-MAIL ARCHIVES; ENRON EMAIL CORPORA; KEY ATTRIBUTES; LANGUAGE CONTENT; LATENT DIRICHLET ALLOCATIONS; TOPIC DISTRIBUTIONS;

ARTIFICIAL INTELLIGENCE; STATISTICS;

SOCIAL NETWORKING (ONLINE);

EID: 34247229909     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Albert, R., & Barabási, A.-L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74, 47-97.
2. Blei, D. M., Ng, A. Y., & Jordan, M. J. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.
3. Lorrain, F., & White, H. C. (1971). The structural equivalence of individuals in social networks. Journal of Mathematical Sociology, 1, 49-80.
4. McCallum, A. (1999). Multi-label text classification with a mixture model trained by EM. AAAI Workshop on Text Learning.
5. McCallum, A., Corrada-Emmanuel, A., & Wang, X. (2004). The author-recipient-topic model for topic and role discovery in social networks: Experiments with enron and academic email (Technical Report). University of Massachussets, Amherst, UM-CS-2004-096.
6. Shetty, J., & Adibi, J. (2004). The Enron email dataset database schema and brief statistical report (Technical Report). Information Sciences Institute.
7. Steyvers, M., Smyth, P., Rosen-Zvi, M., & Griffiths, T. (2004). Probabilistic author-topic models for information discovery. The Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
8. Teh, Y. W., Jordan, M. I., Beal, M. J., & Blei, D. M. (2004). Hierarchical dirichlet processes (Technical Report). UC Berkeley Statistics.
9. Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press.
10. Watts, D. J. (2003). Six degrees: The science of a connected age. Norton.
11. Wolfe, A. P., & Jensen, D. (2003). Playing multiple roles: Discovering overlapping roles in social networks. Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
12. Wu, F., Huberman, B. A., Adamic, L. A., & Tyler, J. R. (2003). Information flow in social groups. http://arXiv.org/abs/cond-mat/0305305.