A modularity analysis method for forum situation prediction |
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Authors: | Ailing Qian Binbin Qu Yansheng Lu Jin Huang |
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Affiliation: | QIAN Ailing1,2,QU Binbin1,LU Yansheng1,HUANG Jin1 1. College of Computer Science,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China,2. School of Mathematics and Information Engineering,Taizhou University,Taizhou 317000,Zhejiang |
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Abstract: | A forum is a social network that consists of posters and the following comments made by netizens. Generally speaking, forum topics are evolving over time dynamically. In this paper, based on time series analysis and matrix modularity analysis, a novel prediction method is proposed through investigating the correlating influence of three key measurements: relationship strength, pillars, and change frequency of a forum topic. The method demonstrates that there exist some macroscopic and potential laws for for... |
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Keywords: | time series social network forum sentiment situation prediction modularity analysis |
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