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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/104715

    Title: Visualization of Knowledge Maps by Linking Social Network Analysis with the Analytic Hierarchy Process for Assessing Academic Performance – The Case of Taiwan’s Intelligent Transportation Systems Discipline
    Authors: Chi-Chung Tao;Ruei-Jhih Jian
    Keywords: Intelligent Transportation Systems;Visualization of knowledge maps;Academic performance assessment
    Date: 2015-08
    Issue Date: 2016-01-06 11:07:58 (UTC+8)
    Publisher: WSEAS
    Abstract: This paper introduces empirical studies of visualizing Taiwan’s Intelligent Transportation Systems
    (ITS) knowledge maps and assessing academic performance. Social network analysis is applied to visualize
    ITS knowledge maps to quantify the strength of the connections between individuals or universities. The results
    from the empirical study show that the development of ITS research is very promising worldwide. CiteSpace
    and UCINET have proven to be useful tools for demonstrating ITS knowledge maps with clusters by fields,
    institutions, and authors. Taiwan's ITS knowledge maps with clusters can be summarized to assess their
    academic performance by using AHP analysis. The ranking indicators and corresponding knowledge maps
    provide an overview of current performance status of ITS researchers in different ITS fields in Taiwan. This
    can eventually identify the most important ITS fields in local areas and contribute to highlighting hot topics of
    ITS researchers in the future.
    Relation: WSEAS Transactions on Computers 14, p.646-657
    Appears in Collections:[Graduate Institute & Department of Transportation Management] Journal Article

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