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Issue No.04 - July/August (2010 vol.25)
pp: 19-25
Lei Tang , Arizona State University, Tempe
Huan Liu , Arizona State University, Tempe
ABSTRACT
<p>The social-dimension-based learning framework (SocioDim) can help predict online behaviors of social media users given a network and the behavior information of some actors in the network.</p>
INDEX TERMS
behavior prediction, collective behavior, social dimensions, social media, edge-centric clustering, node-centric clustering, intelligent systems
CITATION
Lei Tang, Huan Liu, "Toward Predicting Collective Behavior via Social Dimension Extraction", IEEE Intelligent Systems, vol.25, no. 4, pp. 19-25, July/August 2010, doi:10.1109/MIS.2010.36
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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.
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