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文件名:  The_evolving_networks_of_debtor-creditor_relationships_with_addition_and_deletio.pdf
资料下载链接地址: https://bbs.pinggu.org/a-3700989.html
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英文标题:
《The evolving networks of debtor-creditor relationships with addition and
deletion of nodes: a case of P2P lending》
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作者:
Lin Chen, Ping Li, Qiang Li
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最新提交年份:
2018
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英文摘要:
P2P lending activities have grown rapidly and have caused the huge and complex networks of debtor-creditor relationships. The aim of this study was to study the underlying structural characteristics of networks formed by debtor-creditor relationships. According attributes of P2P lending, this paper model the networks of debtor-creditor relationships as an evolving networks with addition and deletion of nodes. It was found that networks of debtor-creditor relationships are scale-free networks. Moreover, the exponent of power-law was calculated by an empirical study. In addition, this paper study what factors impact on the exponent of power-law besides the number of nodes. It was found that the both interest rate and term have significantly influence on the exponent of power-law. Interest rate is negatively correlated with the exponent of power-law and term is positively correlated with the exponent of power-law. Our results enriches the application of complex networks
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中文摘要:
P2P借贷活动发展迅速,形成了庞大而复杂的借贷关系网络。本研究的目的是研究债务人-债权人关系形成的网络的潜在结构特征。根据P2P借贷的属性,本文将借贷关系网络建模为一个具有添加和删除节点的进化网络。研究发现,债务人-债权人关系网络是无标度网络。此外,通过实证研究计算了幂律指数。此外,本文还研究了除节点数外,还有哪些因素影响幂律指数。研究发现,利率和期限对幂律指数都有显著影响。利率与幂律指数呈负相关,期限与幂律指数呈正相关。我们的结果丰富了复杂网络的应用
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分类信息:

一级分类:Quantitative Finance 数量金融学
二级分类:General Finance 一般财务
分类描述:Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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一级分类:Physics 物理学
二级分类:Physics and Society 物理学与社会
分类描述:Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体(人类或其他)的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统(如能源网、运输网络)的物理和工程。
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