2018/06/12 by Lin Chen, Ping Li, Chen, Lin +3
Economics, Econometrics and Finance · Physics and Astronomy · #FOS: Economics and business #FOS: Physical sciences #General Finance (q-fin.GN) #Physics and Society (physics.soc-ph) #physics.soc-ph #q-fin.GN
paper · pdf · doi:10.48550/arxiv.1806.07829
14 pages,14 figures,5 tables
arxiv created 2018/06/12 · arxiv updated 2018/06/21
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