Discovery of central community based on centrality

TLDR: The structure of central community of urban public traffic network of Lanzhou was analyzed with this method and its result indicated that the central community would play a central role in the whole network.

Abstract: By using combined method of degree centrality and flow-between centrality,the degree centrality and flow-between centrality of the nodes were computed first and then,the geometric center of the network and the node with the most routing through it in course of transmission of information and substances or energies on the network would be obtainedTaking these two indices as a whole into consideration,the nodes with these two indices of comparatively large magnitude were obtainedTherefore,the central community on the network could be discovered from among these and neighboring nodes by using CPM discovery algorithm of central communityBy using this method,the relatively "important" community of the network could be found and this would have certain significance for analysis of the spreading mechanism on the complex network,and successive failureFinally,the structure of central community of urban public traffic network of Lanzhou was analyzed with this method and its result indicated that the central community would play a central role in the whole network