The study of construction and analysis method of social network model based on cooperator relationship

Xiang Chen, Ning Gao

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

    1 Citation (Scopus)

    Abstract

    As the new work mode develops, virtual collaborative environments play an increasingly important role in future business and personal activities. Our research proposes a new method of constructing collaborators social network model which considers both communication relations and cooperative relations between cooperators. This method uses public information on the work platform to discover the cooperator's behaviors, discovers community relationship intensity between collaborators and uses these to construct the coordinators social network model. Finally, we use the test data from the open source community website www.codeplex.com to prove the validity of the model and the method. As a result, this method does not only improve the connectivity of social networks, but also reflects each collaborator's role of team better.

    Original languageEnglish
    Title of host publicationE-Life
    Subtitle of host publicationWeb-Enabled Convergence of Commerce, Work, and Social Life - 10th Workshop on E-Business, WEB 2011, Revised Selected Papers
    PublisherSpringer Verlag
    Pages37-45
    Number of pages9
    ISBN (Print)9783642298721
    DOIs
    Publication statusPublished - 2012
    Event10th Workshop on E-Business on E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life, WEB 2011 - Shanghai, China
    Duration: 4 Dec 20114 Dec 2011

    Publication series

    NameLecture Notes in Business Information Processing
    Volume108 LNBIP
    ISSN (Print)1865-1348

    Conference

    Conference10th Workshop on E-Business on E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life, WEB 2011
    Country/TerritoryChina
    CityShanghai
    Period4/12/114/12/11

    Keywords

    • Cooperation relationship
    • Open source community
    • Social network
    • User behavior

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