Cooperative Relationship and Keyword Evolution Revealed from Knowledge Graph Entwining about Trace Evidence

doi:10.16467/j.1008-3650.2021.0171

Forensic Science and Technology ›› 2022, Vol. 47 ›› Issue (3) : 302-309. DOI: 10.16467/j.1008-3650.2021.0171

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Cooperative Relationship and Keyword Evolution Revealed from Knowledge Graph Entwining about Trace Evidence

LI Guangyao¹, HUANG Xing¹, SUN Zhenwen¹, ZHU Jun^1,*, QIAO Ting¹, WANG Ping¹, ZHOU Zheng¹, ZHENG Jili¹, ZHOU Zhiyu²

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Abstract

Driven by big data and visualization technologies, knowledge graph has been rapidly developed about its theory and methods in recent years, therewith having provided a new way to understand the realm of knowledge. The knowledge graph can directly reveal the characteristics and principles of scientific activities. Here, VOSviewer, a tool for knowledge graph to map and parse, was adopted to analyze the large quantity of literatures relating to trace evidence from Web of Science. The results were derived from the main countries, institutions and authors who had contributed more publications about trace evidence worldwide. Meanwhile, there was a manifest of both the characteristics and evolution trend of keywords about trace evidence in different periods. Consequently, this survey brought forth a quick way to know the institutions/countries and authors who had published more articles of researches about trace evidence, together with a comprehension being learnt into their partnership and cooperation. Besides, such a survey can help grasp the research hotspots and developing trends of trace evidence. Certainly, an informative reference could be also provided for communication and learning among relevant peers in the field of trace evidence through a survey of the kind.

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trace evidence / knowledge graph / concurrence analysis / evolution / literature

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LI Guangyao, HUANG Xing, SUN Zhenwen, ZHU Jun, QIAO Ting, WANG Ping, ZHOU Zheng, ZHENG Jili, ZHOU Zhiyu. Cooperative Relationship and Keyword Evolution Revealed from Knowledge Graph Entwining about Trace Evidence. Forensic Science and Technology. 2022, 47(3): 302-309 https://doi.org/10.16467/j.1008-3650.2021.0171

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Received	Revised	Published
2021-08-31	2021-11-17	2022-06-15
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2022-06-09

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