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

Analyzing Intellectual Structure of Related Topics to Blockchain and Bitcoin:From Co-citation Clustering and Bibliographic Coupling Perspectives

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.

As an emerging technology and an important digital currency, blockchain and bitcoin have attracted more and more attention from diversified researchers for the past three years. Actually, the conceptual framework of blockchain and bitcoin has increasingly diffused into other research and application areas. Therefore, to analyze the intellectual structure of the related topics to bitcoin and blockchain sounds significant and valuable. However, the relevant research literature based on the bibliometrics keeps the blank. In this paper, co-citation clustering and bibliographic coupling are utilized to analyze and present the intellectual structure. The related result of analysis could be valuable for the next relevant exploration.