Toward predicting collective behavior via social dimension extraction

IEEE Intelligent Systems

Volumn 25, Issue 4, 2010, Pages 19-25

  Tang, Lei ^a   Liu, Huan ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COLLECTIVE BEHAVIOR; LEARNING FRAMEWORKS; ONLINE BEHAVIOR; SOCIAL DIMENSIONS; SOCIAL MEDIA;

EID: 78349265788     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2010.36     Document Type: Conference Paper

References (8)

1. M. McPherson, L. Smith-Lovin, and J.M. Cook, "Birds of a Feather: Homophily in Social Networks," Ann. Rev. of Sociology, vol. 27, 2001, pp. 415-444.
2. M. Granovetter, "Threshold Models of Collective Behavior," Am. J. Sociology, vol. 83, no. 6, 1978, p. 1420.
3. T.C. Schelling, "Dynamic Models of Segregation," J. Mathematical Sociology, vol. 1, 1971, pp. 143-186.
4. S.A. Macskassy and F. Provost, "Clas-sification in Networked Data: A Toolkit and a Univariate Case Study," J. Machine Learning Research, vol. 8, no. 5, 2007, pp. 935-983.
5. L. Tang and H. Liu, "Relational Learning via Latent Social Dimensions," Proc. 15th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD 09), ACM Press, 2009, pp. 817-826.
6. M. Newman, "Finding Community Structure in Networks Using the Eigenvectors of Matrices," Physical Rev. E (Statistical, Nonlinear, and Soft Matter Physics), vol. 74, no. 3, 2006.
7. L. Tang and H. Liu, "Scalable Learning of Collective Behavior Based on Sparse Social Dimensions," Proc. 18th ACM Conf. Information and Knowledge Management (CIKM 09), ACM Press, 2009, pp. 1107-1116.
8. M. Newman, "Power Laws, Pareto Distributions and Zipf's Law," Contemporary Physics, vol. 46, no. 5, 2005, pp. 323-352.