title: A new closeness centrality measure via effective distance in complex networks.
abstract: Closeness centrality (CC) measure, as a well-known global measure, is widely applied in many complex networks. However, the classical CC presents many problems for flow networks since these networks are directed and weighted. To address these issues, we propose an effective distance based closeness centrality (EDCC), which uses effective distance to replace conventional geographic distance and binary distance obtained by Dijkstra's shortest path algorithm. The proposed EDCC considers not only the global structure of the network but also the local information of nodes. And it can be well applied in directed or undirected, weighted or unweighted networks. Susceptible-Infected model is utilized to evaluate the performance by using the spreading rate and the number of infected nodes. Numerical examples simulated on four real networks are given to show the effectiveness of the proposed EDCC.
authors.affiliation: School of Computer and Information Science, Southwest University, Chongqing 400715, China.
authors.forename: Yuxian
authors.initials: Y
authors.lastname: Du
authors.affiliation: School of Computer and Information Science, Southwest University, Chongqing 400715, China.
authors.forename: Cai
authors.initials: C
authors.lastname: Gao
authors.affiliation: State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Chen
authors.affiliation: Institute of Business Intelligence and Knowledge Discovery, Guangdong University of Foreign Studies, Guangzhou 510006, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Hu
authors.affiliation: School of Engineering, University of British Columbia Okanagan, 3333 University Way, Kelowna, British Columbia V1V 1V7, Canada.
authors.forename: Rehan
authors.initials: R
authors.lastname: Sadiq
authors.affiliation: School of Computer and Information Science, Southwest University, Chongqing 400715, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Deng