A new network core mining method based on node core influence degree

A major problem in Social Network Analysis and Link Discovery is the discovery of core nodes. This paper provides a community core discovery method based on node core influence degree. This method defines a new standard for measuring the centrality of the node. Through the node coverage, influence level and differences from the other nodes, we measure the core nodes in these three aspects. We applied this method to a random generation set of undirected graph with weight. Compared with the results from degree centrality, the results show the higher accuracy and reasonable in this method.