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首页> 外文期刊>WSEAS Transactions on Computers >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
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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

机译：通过将社会网络分析与层次分析过程相结合来评估学业成绩，从而可视化知识图谱-以台湾智能交通系统学科为例

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摘要

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.
机译：本文介绍了可视化台湾智能交通系统（ITS）知识图谱和评估学术表现的实证研究。社交网络分析用于使ITS知识图可视化，以量化个人或大学之间的联系强度。实证研究的结果表明，ITS研究的发展在世界范围内非常有前途。实践证明，CiteSpace和UCINET是演示ITS知识图谱（按领域，机构和作者分类）的有用工具。通过使用AHP分析，可以总结台湾具有集群的ITS知识图谱，以评估其学术表现。排名指标和相应的知识图谱概述了台湾不同ITS领域中ITS研究人员的当前工作状况。这最终可以确定本地最重要的ITS领域，并有助于将来突出ITS研究人员的热门话题。

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