基于社会网络分析的国内网络借贷文献研究
首发时间:2019-06-25
摘要:网络借贷作为一种新的互联网金融发展模式,近年来呈爆发式增长,并逐步完善,引起了学术界的广泛关注。本文通过分析2010~2018年间发表于核心期刊及CSSCI期刊的文献,有助于学者了解网络借贷的研究现状及未来发展趋势。主要采用社会网络分析方法,从文献时间分布、作者及其合作关系、关键词几个方面切入,综合运用文献计量工具和统计分析软件(SATI、Ucinet)对国内网络借贷的相关文献进行分析。研究发现:我国网络借贷的研究起步较晚,目前仍处于发展阶段;作者合作团体受现实经济发展水平和空间距离的影响,分布较分散,协作程度较低;文献研究的主要内容包括,P2P网贷和网贷平台的性质、发展现状、运营模式,存在的风险及监管策略,借贷双方的行为特征,网络借贷在金融改革和创新方面的影响及应对策略,借贷双方的社会网络和社会资本以及借款成功率和借款成本影响因素等方面的研究。
关键词: P2P网络借贷 作者合作网络 关键词分析 内容分析
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Research on Domestic P2P Online Lending Literature Based on Social Network Analysis
Abstract:As a new mode of Internet finance development, P2P online lending has experienced explosive growth in recent years and has been gradually improving, which has attracted widespread attention of the academic community. This paper analyzes the literature published in core journals and CSSCI journals from 2010 to 2018, which will help scholars to understand the current research situation and future development trend of P2P online lending.It mainly adopts the social network analysis method and uses the bibliometric tools and statistical analysis software (SATI, Ucinet) to analyze the related literature of domestic P2P online lending from the aspects of literature time distribution, author\'s cooperative relationship and keywords.The research finds that the research on online lending in China started late and still in the stage of development. Affected by the local economic development level and spatial distance, the author cooperative groups\' distribution is relatively scattered and the degree of collaboration is low; the main contents of the research include the nature, development status, operating models, existing risks and regulatory strategies of P2P online lending and platforms; Behavioral characteristics of lenders and borrowers; The impact of online lending on financial reform and innovation and the corresponding coping strategies, social networks and social capital of lenders and borrowers. And the influencing factor on the success rates and cost of borrowing.
Keywords: P2P online lending author collaboration network keywords analysis content analysis
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