Group and topic discovery from relations and text

3rd International Workshop on Link Discovery, LinkKDD 2005 - in conjunction with 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2005, Pages 28-35

  Wang, Xuerui ^a   Mohanty, Natasha ^a   McCallum, Andrew ^a  

^a University of Massachusetts Amherst   (United States)

Author keywords

Graphical models; Relational learning; Text modeling

Indexed keywords

ENTITY-RELATIONSHIP; GENERATIVE MODEL; GRAPHICAL MODEL; LATENT VARIABLE MODELS; RELATIONAL LEARNING; RELATIONSHIP DATA; TEXT MODELING; TOPIC DISCOVERY;

DATA MINING;

EID: 84939653084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1134271.1134276     Document Type: Conference Paper

References (21)

1. D. Beeferman and A. Berger. Agglomerative clustering of a search engine query log. In SIGKDD, 2000.
2. R. Bekkerman, R. E. Yaniv, and A. McCallum. Multi-way distributional clustering via pairwise interactions. In ICML, 2005.
3. I. Bhattacharya and L. Getoor. Deduplication and group detection using links. In LinkKDD, 2004.
4. D. Blei, A. Ng, and M. Jordan. Latent Dirichlet allocation. JMLR, 3:993-1022, 2003.
5. K. Carley. A theory of group stability. American Sociological Review, 56(3):331-354, 1991.
6. K. Carley. A comparison of artificial and human organizations. Journal of Economic Behavior and Organization, 56:175-191, 1996.
7. G. Cox and K. Poole. On measuring the partisanship in roll-call voting: The U.S. House of Represenatatives, 1887-1999. American Journal of Political Science, 46(1):477-489, 2002.
8. W. W. Denham, C. K. McDaniel, and J. R. Atkins. Aranda and Alyawarra kinship: A quantitative argument for a double helix model. American Ethnologist, 6(1):1-24, 1979.
9. I. S. Dhillon, S. Mallela, and D. S. Modha. Information-theoretic co-clustering. In SIGKDD, 2003.
10. D. Fenn, O. Suleman, J. Efstathiou, and N. Johnson. How does Europe make its mind up? Connections, cliques, and compatibility between countries in the Eurovision song contest. arXiv:physics/0505071, 2005.
11. S. Hix, A. Noury, and G. Roland. Power to the parties: Cohesion and competition in the European Parliament, 1979-2001. British Journal of Political Science, 35(2):209-234, 2005.
12. A. Jakulin and W. Buntine. Analyzing the US Senate in 2003: Similarities, networks, clusters and blocs, 2004.
13. C. Kemp, T. L. Griffiths, and J. Tenenbaum. Discovering latent classes in relational data. Technical report, MIT CSAIL, 2004.
14. D. Krackhardt and K. M. Carley. A PCANS model of structure in organization. In Int. Sym. on Command and Control Research and Technology, June 1998.
15. J. Kubica, A. Moore, J. Schneider, and Y. Yang. Stochastic link and group detection. In AAAI, 2002.
16. A. McCallum, A. Corrada-Emanuel, and X. Wang. Topic and role discovery in social networks. In IJCAI, 2005.
17. K. Nowicki and T. A. Snijders. Estimation and prediction for stochastic blockstructures. Journal of the American Statistical Association, 96(455), 2001.
18. A. Pajala, A. Jakulin, and W. Buntine. Parliamentary group and individual voting behavior in Finnish Parliamentin year 2003: A group cohesion and voting similarity analysis, 2004.
19. M. Sparrow. The application of network analysis to criminal intelligence: an assessment of prospects. Social Networks, 13:251-274, 1991.
20. E. Voeten. Documenting votes in the UN General Assembly. http://home.gwu.edu/~voeten/UNVoting.htm Toc82404232.
21. S. Wasserman and K. Faust. Social Network Analysis: Methods and Applications. Cambridge University Press, 1994.