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    题名: Exploring emerging trends in agent-based modeling using bibliometric analysis and growing hierarchical self-organizing maps
    作者: 姜國輝
    Chiang, Johannes K.;Szu, Wei Wen
    Chiang, Johannes K.
    贡献者: 資管系
    关键词: Emerging Technology;Agent-Based Modeling (ABM);Growing Hierarchical Self-Organizing Map (GHSOM);Informetrics;Bibliometrics;Scientometrics
    日期: 2018-03
    上传时间: 2019-01-24 12:11:28 (UTC+8)
    摘要: Agent-based modeling (ABM) refers to the computer simulation of agents in a dynamic system. The
    underlying problem of ABM was first theorized by John von Neumann in 1940. However, research did not
    address this problem until the concept of ABM emerged in this decade. This study highlights emerging trends
    in international literature related to ABM for articles in the Social Science Citation Index (SSCI) database
    published since 1995. Because of the lack of a state-of-the-art method to identify emerging technologies, we
    employed the bibliometric technique and a growing hierarchical self-organizing map (GHSOM) to explore the
    emerging trend of ABM.Firstly, this paper reviews ABM methodology and state-of-the-art research methods, namely the bibliometric
    technique and GHSOMs. Secondly, we explain the research data and method. The dataset used in this study
    was derived from the SSCI database of the Web of Science. An empirical search command was used to
    retrieve data related to ABM and then a bibliometric analysis was performed on the ingested data. The results
    revealed that ABM does emerge and development related to ABM continued to expand. We then deployed the
    application of the GHSOM to topic analysis in three phases: a data-preprocessing phase, -clustering phase,
    and -interpreting phase. The results indicated that the common topics related to ABM are complexity theory,
    the prisoner’s dilemma, altruism, land-use change, cellular automata and innovation diffusion etc. This paper
    illustrates the potential of using GHSOM to explore the applications of emerging technologies. The study is
    the first of its kind thus far.
    關聯: Journal of Engineering Technology, Volume 6, Special Issue, pp.50-70
    数据类型: article
    显示于类别:[資訊管理學系] 期刊論文

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