Analyzing and tracking weblog communities using discriminative collection representatives

Authors:
Guozhu Dong;Ting Sa
Affiliations:
Department of Computer Science and Engineering, Wright State University, Dayton, Ohio;Department of Computer Science and Engineering, Wright State University, Dayton, Ohio
Venue:
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Year:
2010

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Abstract

Analyzing/tracking weblogs by given communities (ATWC) is increasingly important for sociologists and government agencies, etc. This paper introduces an approach to address the needs of ATWC by using concise discriminative weblog collection representatives (DCRs). DCRs are aimed at helping users to quickly identify the major themes/trends in such collections, and to quickly identify important shifts/differences in major themes and trends of blogs by given communities over time and space. We propose to use the quality of DCR-based classifiers to measure DCRs' quality. We present algorithms for constructing DCRs, report experimental results to evaluate the efficiency of the algorithms and the quality of the DCRs they construct, and provide real-data examples to demonstrate the usefulness of DCRs for ATWC.