  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
