The impact of default on the evolving dynamic 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 to attributes of P2P lending, this paper model the networks of debtor-creditor relationships as an evolving network with the addition and deletion of nodes. It was found that networks of debtor-creditor relationships are scale-free networks. When the impact of default was considered in networks of debtor-creditor relationships, it was found that the power-law distribution of degree is not changed by the event of default, but the exponent of power-law under the event of default is less than the situation without the event of default. Our results enrich the application of complex networks. [ABSTRACT FROM AUTHOR]