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2014 , Vol. 58 >Issue 04: 65 - 70

DOI: https://doi.org/10.13266/j.issn.0252-3116.2014.04.011

Research of Identification and Classification of Emergencies Key Nodes Based on BBS

  • Cao Xueyan ,
  • Duan Feifei ,
  • Fang Kuan ,
  • Zhang Xian ,
  • Li Shiming
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  • 1. Library of University of Electronic Science and Technology of China, Chengdu 611731;
    2. School of Political Science and Public Administration, University of Electronic Science and Technology of China, Chengdu 611731;
    3. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731;
    4. Department of Retired Work, University of Electronic Science and Technology of China, Chengdu 611731;
    5. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731

Received date: 2013-12-26

  Revised date: 2014-02-01

  Online published: 2014-02-20

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Abstract

In the information spread process of emergencies, the powerful key nodes in BBS often decide the spread trend of Internet public opinion.This paper designed a technical method which integrating data mining, data structure, node measuring and recognition, key nodes influence calculation, key node classification etc., involving the algorithm and software such as GooSeeker, Gephi, LeaderRank, taking the 723 train accident as the example.It revealed the characteristics of network public opinion including the complexity of structure, scale-free and community structure etc.,and got two kinds of key nodes as "web celebrities" and "event focus".This has the reference value to the network public opinion response.

Key words： emergency; Internet public opinion; key node; BBS

Cite this article

Cao Xueyan , Duan Feifei , Fang Kuan , Zhang Xian , Li Shiming . Research of Identification and Classification of Emergencies Key Nodes Based on BBS[J]. Library and Information Service, 2014 , 58(04) : 65 -70 . DOI: 10.13266/j.issn.0252-3116.2014.04.011

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