A Hybrid Visualization Model for Knowledge Mapping: Scientometrics, SAOM, and SAO
A Hybrid Visualization Model for Knowledge Mapping: Scientometrics, SAOM, and SAO
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DOI：
10.1109/tits.2023.3327266
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发表时间：
2024-03
影响因子：
8.5
通讯作者：
Guangnian Xiao;Liu Chen;Xinqiang Chen;C. Jiang;A. Ni;Chunqin Zhang;Fang Zong
中科院分区：
文献类型：
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作者：
Guangnian Xiao;Liu Chen;Xinqiang Chen;C. Jiang;A. Ni;Chunqin Zhang;Fang Zong
预测城市各区域的人群流量对于交通控制和公共安全具有重要的战略意义。近年来，基于时空数据的人群流量预测得到了越来越多的关注。为了更好地了解时空人群流量预测研究和全球合作的现状，我们利用科学计量学方法、社会网络分析和随机行为者导向模型（SAOM）对来源期刊、热点共现网络和国家合作网络进行可视化和分析。基于Web of Science数据库中包含的相关文献，从而探讨相关学术研究的现状和特点。此外，本文构建了基于主体-行动-客体（SAO）结构信息的技术框架，并绘制了包含数据、技术、影响因素、目标和应用五个层次的技术路线图。基于SAO结构信息的技术主题演化路径可视化映射，可以辅助分析技术主题的演化路径及其发展趋势。本研究通过提出一个新的、综合的、整体的知识地图，对现有的时空人群流量预测知识体系做出贡献。
Predicting the crowd flow in various areas of the city is of strategic importance for traffic control and public safety. In recent years, crowd flow prediction based on spatio-temporal data are gaining more and more attention. In order to better understand the current status of spatio-temporal crowd flow prediction research and global cooperation, we use scientometric methods, social network analysis, and Stochastic Actor-oriented Model (SAOM) to visualize and analyze the source journals, hotspot co-occurrence networks, and national cooperation networks based on the relevant literature included in the Web of Science database, so as to explore the current status and characteristics of related academic research. In addition, this paper constructs a technical framework based on Subject–Action–Object (SAO) structural information, and draws a technical roadmap containing five levels: data, technology, influence factors, objectives, and applications. The visual mapping of the evolutionary path of technology topics based on SAO structure information can assist in analyzing the evolutionary path of technology topics and their development trends. This study contributes to the existing knowledge system of spatio-temporal crowd flow prediction by proposing a new, integrated, and holistic knowledge map.