CNKI数据库收录1990—2020年死亡时间推断研究的文献信息可视化分析

Visualization of Literature Information on Postmortem Interval Estimation In⁃dexed by CNKI Database from 1990 to 2020

目的通过对中国知识基础设施工程(China National Knowledge Infrastructure,CNKI)数据库收录的死亡时间推断研究的文献信息可视化分析,探究1990年1月—2020年8月我国死亡时间推断研究的发展过程、不同时期的研究热点、作者及机构间合作情况,为更好地开展死亡时间推断研究提供借鉴。方法利用信息可视化分析软件CiteSpace 5.7.R1对CNKI收录的1990年1月—2020年8月死亡时间推断研究文献中的突现热点、高频关键词、作者、机构等情况进行大数据分析。结果死亡时间推断研究的文献发表高峰期在2006—2010年,共114篇。关键词共现网络中,有效热点词汇为法医昆虫学、DNA含量分析,同时出现人工智能、大数据等新兴词汇。机构合作网络中,高频发文机构为科研院校;作者合作网络呈共聚、多合作态势。结论随着科技进步,基于传统方法的死亡时间推断研究日渐成熟,新的研究热点涌现,基于大数据、人工智能的研究为死亡时间推断提供了新方向。

Objective To explore the development process of the postmortem interval(PMI)research in China from January 1990 to August 2020,research hotspots in different periods,authors and cooperation between institutions,and to provide a reference for the better development of PMI inference research through the visualization of the literature information of the PMI estimation research indexed in China National Knowledge Infrastructure(CNKI).Methods The information visualization analysis software CiteSpace 5.7.R1 was used to carry out big data analysis on hotspots,high-frequency keywords,authors,institutions and other information in the research literature on PMI inference from January 1990 to August 2020 indexed in CNKI.Results The peak time of publication of PMI was from 2006 to 2010 with 114 articles.In keyword co-occurrence network,the effective hot words were forensic entomology,DNA content analysis and some emerging words such as artificial intelligence and big data.In the cooperation network of institutions,the high-frequency institutions were mainly the scientific research institutions.The author cooperation network showed a trend of co-aggregation and multi-cooperation.Conclusion With the development of science and technology,the research on PMI estimation based on traditional methods is mature and novel strategies are emerging.Big data and artificial intelligence combined with forensic science provide new research directions on PMI estimation.