A new algorithm for detecting community in complex supply network

Detecting communities in complex supply networks is of considerable importance for understanding both the structure and function of the supply networks. Here, global information of the networks is considered by defining the profile of any node based on its locality index; then a useful algorithm for community detection based on a measure of information discrepancy and the popular modular function Q is presented. And the results show that they can detect communities of networks more effectively.