区块链和比特币相关主题的知识结构分析:共被引和耦合聚类分析视角

发布时间：2018-04-17 19:40

本文选题：区块链 + 比特币　；参考：《自动化学报》2017年09期

【摘要】：区块链与比特币作为当前一种重要的新兴技术和数字货币,随着相关应用的拓展,一些理论和应用问题开始得到更多的关注.近年来,区块链和比特币的相关概念已经逐渐扩散到其他的学术领域.但是,对区块链和比特币相关主题的知识结构(Intellectual structure),包括知识基础(Intellectual base)和研究前沿(Research front)的探讨较少,定量化研究基本为空白.本文通过对Web of Science数据库收录的相关文献进行计量分析,并结合科学图谱分析工具,以较为直观的方式,部分呈现了区块链与比特币相关主题的知识结构,其中包括以共被引聚类分析呈现的知识基础和以耦合聚类分析和关键词共现分析呈现的研究前沿.对于推进区块链和比特币相关主题的知识扩散,以及对未来区块链和比特币的相关学术研究具有一定的参考价值.
[Abstract]:As an important emerging technology and digital currency, block chain and bitcoin have attracted more and more attention with the development of related applications.In recent years, the concepts of block chain and bitcoin have gradually spread to other academic fields.However, there is little discussion on the knowledge structure of block chain and bitcoin related topics, including knowledge base and frontier research, and the quantitative research is basically blank.Based on the quantitative analysis of the relevant documents in the Web of Science database and the scientific map analysis tools, this paper presents the knowledge structure of the block chain and bitcoin related topics in a more intuitive way.It includes the knowledge base presented by cocitation cluster analysis and the research frontier presented by coupling clustering analysis and keyword co-occurrence analysis.It has some reference value for advancing the knowledge diffusion of block chain and bitcoin related topics, and for the future academic research of block chain and bitcoin.
【作者单位】：华南理工大学工商管理学院;广东省创新方法与决策管理系统重点实验室;
【基金】：国家自然科学基金(71673088) 广东省软科学研究基金(2017A070706003)资助~~
【分类号】：F49;F821;TP311.13

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