An improved physarum centrality measure for weighted networks Zhang, Yajuan, Li, Ya, Zhang, Zili, Deng, Yong and Zhao, Shang 2012, An improved physarum centrality measure for weighted networks, ICIC express letters, Part B : applications, vol. 3, no. 4, pp. 955-960. Attached Files Name Description MIMEType Size Downloads zhang-animprovedphysarum-2012.pdf Published version application/pdf 1.57MB 63 Title An improved physarum centrality measure for weighted networks Author(s) Zhang, Yajuan Li, Ya Zhang, Zili orcid.org/0000-0002-8721-9333 Deng, Yong Zhao, Shang Journal name ICIC express letters, Part B : applications Volume number 3 Issue number 4 Start page 955 End page 960 Total pages 6 Publisher ICIC International Place of publication China Publication date 2012-08 ISSN 2185-2766 Keyword(s) Amoeboid organism centrality measures improved Physarum centrality weighted networks Summary Identification of the most central node within a network is one of the primary problems in network analysis. Among various centrality measures for weighted networks, most are based on the assumption that information only spreads through the shortest paths. Then, a mathematical model of an amoeboid organism has been used by Physarum centrality to relax the assumption. However, its computational complexity is relatively high by finding competing paths between all pairs of nodes in networks. In this paper, with the idea of a ground node, an improved Physarum centrality is proposed by maintaining the feature of original measure with the performance is greatly enhanced. Examples and applications are given to show the efficiency and effectiveness of our proposed measure in weighted networks. Language eng Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified 080110 Simulation and Modelling Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2012, ICIC International Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30049648 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 29 Nov 2012, 08:10:50 EST Fri, 07 Dec 2012, 14:22:49 EST Wed, 02 Jul 2014, 15:56:51 EST Thu, 20 Aug 2015, 10:03:08 EST Tue, 05 Dec 2017, 12:38:11 EST Fri, 07 Sep 2018, 16:20:36 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 710 Abstract Views, 63 File Downloads  -  Detailed Statistics Created: Thu, 29 Nov 2012, 08:10:50 EST