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国际区块链研究主题挖掘及演化分析 被引量:11

Topic Mining and Evolution Analysis of Blockchain Research
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摘要 [目的/意义]区块链研究越来越受到社会各界的重视,对国际区块链研究主题及其演化的分析有利于我国学者把握其发展趋势,精准把握面向区块链学科领域的国际前沿研究方向。[方法/过程]本文围绕国际区块链研究主题及演化情况,以Web of Science核心合集SCI-EXPANDED和SSCI中2008—2020年相关论文为数据源,使用LDA主题模型,从热点主题和主题演化两个方面对国际区块链研究进行了分析。[结果/结论]国际区块链领域中的热点主题包括“医疗健康”“数据隐私保护”“能源交易与共识算法”和“物联网安全”;“商务智能合约”“加密货币”两个主题具有明显演化特征,具体表现为在重要文献发表之后两者的热度开始上升;区块链的研究从其技术本身向包括医疗、能源在内的多个领域拓展渗透;目前,以融合解决其他领域问题为特征的区块链3.0的研究占比已经超过了传统的区块链1.0和以智能合约为代表的区块链2.0。 [Purpose/Significance]The research of blockchain has been paid more and more attention.The analysis of blockchain research topics and their evolution is helpful for Chinese scholars to grasp its development trend and do research facing the international frontier.[Method/Process]Focusing on the topic and evolution of blockchain research,this paper analyzed from two aspects:hot topics and topic evolution by using the LDA topic model,with the web of science core collection SCI-EXPANDED and SSCI papers from 2008 to 2020 as data sources.[Result/Conclusion]The hot topics in the field of blockchain included“health care”,“data privacy protection”,“energy transaction and consensus algorithm”and“Internet of things security”.The two topics of“business smart contract”and“cryptocurrency”have obvious evolutionary characteristics,which were shown in the rising popularity of the two topics after the publication of influential works.The research of blockchain extended and penetrated from its technology itself to many fields including medical treatment and energy.At present,the proportion of research on blockchain 3.0,which is characterized by integrating and solving problems in other fields,has exceeded that of traditional blockchain 1.0 and blockchain 2.0 represented by smart contracts.
作者 罗棋 闵超 颜嘉麒 王嘉杰 Luo Qi;Min Chao;Yan Jiaqi;Wang Jiajie(School of Information Management,Nanjing University,Nanjing 210023,China)
出处 《现代情报》 CSSCI 2021年第9期157-166,共10页 Journal of Modern Information
基金 国家自然科学基金项目“供应链质量管理中基于区块链的智能系统模型研究”(项目编号:71701091) 教育部人文社会科学项目“区块链虚拟组织信息资源的知识表示方法研究”(项目编号:17YJC870020)。
关键词 区块链领域 主题挖掘 主题演化 LDA blockchain topic mining topic evolution LDA
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