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Research on collaboration patterns of ICMSE conference coauthors network

  • Hei Long Jiang University
  • School of Management, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fistly, IEEE database is utilized to retrieve ICMSE conference data from 2006 to 2013 to build the conference coauthors network, then use social network analysis methods to analyze the scientific status of cooperation between scholars. Secondly, in the analysis of Cohesive Subgroup, we analyze and compare the two larger network from the core node centrality, the correlation between code centrality and the amount of published articles, the team themes and small-world phenomenon, then show the evolution of the largest subnet, finding cooperative law among subgroups members. Finally, we get the journal posting agency statistics, further revealed the law of the journal, which provide some suggestions for journal further development and support for the cooperation of this field.

Original languageEnglish
Title of host publication2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016
EditorsJiayi Du, Chubo Liu, Kenli Li, Lipo Wang, Zhao Tong, Maozhen Li, Ning Xiong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1594-1599
Number of pages6
ISBN (Electronic)9781509040933
DOIs
StatePublished - 19 Oct 2016
Externally publishedYes
Event12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016 - Changsha, China
Duration: 13 Aug 201615 Aug 2016

Publication series

Name2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016

Conference

Conference12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016
Country/TerritoryChina
CityChangsha
Period13/08/1615/08/16

Keywords

  • Coauthor Net-work
  • Component analysis
  • ICMSE
  • Social Network Analysis

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