{"title":"2000年至2019年智能司法研究知识领域的可视化:文献计量学分析","authors":"Xiaolong Liu","doi":"10.1109/ICDSBA51020.2020.00036","DOIUrl":null,"url":null,"abstract":"Based on the Web of Science Collection databases from 2000 to 2019, a scientometric analysis of 416 academic works related to intelligent justice was carried out to reveal the development trend in this field and provide recommendations for future researches. The results showed that the number of publications had increased in steps, especially rapidly growing in 2015 – 2019. Through visualization analysis of keyword co-occurrence network and reference timeline map, the main research method was \"Data mining\" technology and hotspots mainly focused on \"crime analysis\", \"detection\" and \"forensics\". Furthermore, the most productive country was USA and China followed as the key area performing such research. Correspondingly, the USA institutions occupied the absolute main in the forefront research institutions. However, owing to the private data, which was obtained difficultly by the public, the intelligent justice researches were only studied in several separate institutions, with institution-collaboration and author-collaboration in a small-scale. By contrast, the intelligent justice researches in USA and Europe were earlier than China, but the Chinese government had stronger interest in the intelligent justice researches recently. The Chinese government launched a number of intelligent justice researches in recent 3 years, not only in crime analysis area, but also in intelligent judgement area. China was playing an increasingly important role in intelligent justice research domain.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Visualizing the Knowledge Domain of Intelligent Justice Research Between 2000 and 2019: a Bibliometric Analysis\",\"authors\":\"Xiaolong Liu\",\"doi\":\"10.1109/ICDSBA51020.2020.00036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the Web of Science Collection databases from 2000 to 2019, a scientometric analysis of 416 academic works related to intelligent justice was carried out to reveal the development trend in this field and provide recommendations for future researches. The results showed that the number of publications had increased in steps, especially rapidly growing in 2015 – 2019. Through visualization analysis of keyword co-occurrence network and reference timeline map, the main research method was \\\"Data mining\\\" technology and hotspots mainly focused on \\\"crime analysis\\\", \\\"detection\\\" and \\\"forensics\\\". Furthermore, the most productive country was USA and China followed as the key area performing such research. Correspondingly, the USA institutions occupied the absolute main in the forefront research institutions. However, owing to the private data, which was obtained difficultly by the public, the intelligent justice researches were only studied in several separate institutions, with institution-collaboration and author-collaboration in a small-scale. By contrast, the intelligent justice researches in USA and Europe were earlier than China, but the Chinese government had stronger interest in the intelligent justice researches recently. The Chinese government launched a number of intelligent justice researches in recent 3 years, not only in crime analysis area, but also in intelligent judgement area. China was playing an increasingly important role in intelligent justice research domain.\",\"PeriodicalId\":354742,\"journal\":{\"name\":\"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSBA51020.2020.00036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA51020.2020.00036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
基于2000 - 2019年Web of Science Collection数据库,对416篇与智能司法相关的学术著作进行科学计量分析,揭示该领域的发展趋势,并为未来的研究提供建议。结果表明,论文发表数量呈阶梯增长趋势,2015 - 2019年增长尤为迅速。通过对关键词共现网络和参考时间轴图的可视化分析,研究方法以“数据挖掘”技术为主,热点主要集中在“犯罪分析”、“侦查”和“取证”三个方面。此外,生产力最高的国家是美国和中国,其次是进行此类研究的关键领域。相应的,美国机构在前沿研究机构中占据绝对主体。然而,由于私人数据难以被公众获取,智能司法研究只在几个独立的机构进行,小规模的机构合作和作者合作。相比之下,美国和欧洲的智能司法研究早于中国,但中国政府最近对智能司法研究的兴趣更大。近三年来,中国政府开展了多项智能司法研究,不仅在犯罪分析领域,而且在智能审判领域。中国在智能司法研究领域发挥着越来越重要的作用。
Visualizing the Knowledge Domain of Intelligent Justice Research Between 2000 and 2019: a Bibliometric Analysis
Based on the Web of Science Collection databases from 2000 to 2019, a scientometric analysis of 416 academic works related to intelligent justice was carried out to reveal the development trend in this field and provide recommendations for future researches. The results showed that the number of publications had increased in steps, especially rapidly growing in 2015 – 2019. Through visualization analysis of keyword co-occurrence network and reference timeline map, the main research method was "Data mining" technology and hotspots mainly focused on "crime analysis", "detection" and "forensics". Furthermore, the most productive country was USA and China followed as the key area performing such research. Correspondingly, the USA institutions occupied the absolute main in the forefront research institutions. However, owing to the private data, which was obtained difficultly by the public, the intelligent justice researches were only studied in several separate institutions, with institution-collaboration and author-collaboration in a small-scale. By contrast, the intelligent justice researches in USA and Europe were earlier than China, but the Chinese government had stronger interest in the intelligent justice researches recently. The Chinese government launched a number of intelligent justice researches in recent 3 years, not only in crime analysis area, but also in intelligent judgement area. China was playing an increasingly important role in intelligent justice research domain.