Identifying influential nodes in complex networks: A multiple attributes fusion method Zhong,L, Gao,C, Zhang,Z, Shi,N and Huang,J 2014, Identifying influential nodes in complex networks: A multiple attributes fusion method. In Slezak,D, Scahefer,G, Vuong,ST and Kim,YS (ed), Active Media Technology, Springer, Switzerland, pp.11-22, doi: 10.1007/978-3-319-09912-5_2. Attached Files Name Description MIMEType Size Downloads Title Identifying influential nodes in complex networks: A multiple attributes fusion method Author(s) Zhong,L Gao,C Zhang,Z orcid.org/0000-0002-8721-9333 Shi,N Huang,J Title of book Active Media Technology Editor(s) Slezak,D Scahefer,G Vuong,ST Kim,YS Publication date 2014 Series Lecture Notes in Computer Science Chapter number 2 Total chapters 47 Start page 11 End page 22 Total pages 12 Publisher Springer Place of Publication Switzerland Summary How to identify influential nodes is still an open hot issue in complex networks. Lots of methods (e.g., degree centrality, betweenness centrality or K-shell) are based on the topology of a network. These methods work well in scale-free networks. In order to design a universal method suitable for networks with different topologies, this paper proposes a Multiple Attribute Fusion (MAF) method through combining topological attributes and diffused attributes of a node together. Two fusion strategies have been proposed in this paper. One is based on the attribute union (FU), and the other is based on the attribute ranking (FR). Simulation results in the Susceptible-Infected (SI) model show that our proposed method gains more information propagation efficiency in different types of networks. © 2014 Springer International Publishing. ISBN 9783319099125 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-319-09912-5_2 Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category B1 Book chapter ERA Research output type B Book chapter Copyright notice ©2014, Springer Persistent URL http://hdl.handle.net/10536/DRO/DU:30071841 Document type: Book Chapter Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 27 Mar 2015, 13:59:50 EST Wed, 22 Apr 2015, 13:42:41 EST Wed, 22 Apr 2015, 15:37:35 EST Wed, 22 Apr 2015, 15:49:23 EST Fri, 24 Apr 2015, 12:31:45 EST Fri, 24 Apr 2015, 12:37:29 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 10 times in Scopus Search Google Scholar Access Statistics: 695 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Wed, 22 Apr 2015, 13:42:41 EST