Collaborative Production Structure of Knowledge Sharing Behavior in Internet Communities

Jiangtao Wang (First Author), Jian-mei Yang (Participant Author), Quan Chen (Participant Author), Sang-Bing Tsai (Participant Author)

    Research output: Contribution to journalJournal

    15 Citations (Web of Science)
    15 Downloads (Pure)

    Abstract

    Peer production has received considerable attention because it is a new mode of providing information. Online encyclopedias are one typical application of peer production. They allow anyone to freely create and share knowledge. Large numbers of volunteers participate and form various relationships in the process of creating and sharing knowledge. A heterogeneous network model is presented to analyze the collaborative relationship of sharing behavior, and a new network measurement is presented to investigate the network structure by mapping it into a quantum system. The results of the present work show that volunteers in online communities are heterogeneous and that the collective states induced by these collaborative production network structures are different at different times. Some collective states are ordered states while others are softly chaotic. Analysis of these collective states may provide completely different insight from the individual dynamic state of contributors in a network.
    Original languageEnglish
    Pages (from-to)1-9
    JournalMobile Information Systems
    Issue number1
    DOIs
    Publication statusPublished - 2016

    Corresponding author email

    zschenquan@gmail.com
    sangbing@hotmail.com

    Project sponsor

    National Nature Science Foundation of China
    Provincial Nature Science Foundation of Guangdong
    Academic Scientific Research Foundation for High-Level Researcher, University of Electronic Science Technology of China Zhongshan Institute

    Project No.

    71273093
    2015A030310271
    414YKQ01
    415YKQ08

    Keywords

    • COMPLEX NETWORKS
    • WIKIPEDIA

    Indexed by

    • SCIE
    • Scopus

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