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author:

Wei, Jing-Jing (Wei, Jing-Jing.) [1] | Chen, Chang (Chen, Chang.) [2] | Liao, Xiang-Wen (Liao, Xiang-Wen.) [3] (Scholars:廖祥文) | Chen, Guo-Long (Chen, Guo-Long.) [4] (Scholars:陈国龙) | Cheng, Xue-Qi (Cheng, Xue-Qi.) [5]

Indexed by:

EI Scopus PKU CSCD

Abstract:

Existing models for measuring user social influence fail to integrate both opinion and topic information. Therefore, a new constrained nonnegative tensor factorization method combining user's opinion and the topical relevance was proposed. The method represented user's comment relations as 3-order tensor, factorized the comments tensor constrained by Laplacian topical matrix, and then measures user influence according to the latent factors resulting from the tensor factorization. Thus, the new method not only was capable to effectively calculate the strength of user social influence on given topic, but also kept the polarity allocation of social influence. The experimental result shows that the performance of the proposed method is better than that of the baseline methods such as OOLAM, TwitterRank, etc. © 2016, Editorial Board of Journal on Communications. All right reserved.

Keyword:

Economic and social effects Factorization Tensors

Community:

  • [ 1 ] [Wei, Jing-Jing]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Wei, Jing-Jing]College of Electronics and Information Science, Fujian Jiangxia University, Fuzhou; 350108, China
  • [ 3 ] [Chen, Chang]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Chen, Chang]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Liao, Xiang-Wen]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350116, China
  • [ 6 ] [Liao, Xiang-Wen]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Fuzhou University, Fuzhou; 350116, China
  • [ 7 ] [Chen, Guo-Long]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350116, China
  • [ 8 ] [Chen, Guo-Long]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Fuzhou University, Fuzhou; 350116, China
  • [ 9 ] [Cheng, Xue-Qi]Institute of Computing Technology, Chinese Academy of Sciences, Beijing; 100086, China

Reprint 's Address:

  • 廖祥文

    [liao, xiang-wen]fujian provincial key laboratory of networking computing and intelligent information processing, fuzhou university, fuzhou; 350116, china;;[liao, xiang-wen]college of mathematics and computer science, fuzhou university, fuzhou; 350116, china

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Source :

Journal on Communications

ISSN: 1000-436X

CN: 11-2102/TN

Year: 2016

Issue: 6

Volume: 37

Page: 154-162

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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