XIAO Liping, MENG Hui, LI Deyi. Approach to Node Ranking in a Netwrok Based on Topology Potential[J]. Geomatics and Information Science of Wuhan University, 2008, 33(4): 379-383.
Citation:
XIAO Liping, MENG Hui, LI Deyi. Approach to Node Ranking in a Netwrok Based on Topology Potential[J]. Geomatics and Information Science of Wuhan University, 2008, 33(4): 379-383.
XIAO Liping, MENG Hui, LI Deyi. Approach to Node Ranking in a Netwrok Based on Topology Potential[J]. Geomatics and Information Science of Wuhan University, 2008, 33(4): 379-383.
Citation:
XIAO Liping, MENG Hui, LI Deyi. Approach to Node Ranking in a Netwrok Based on Topology Potential[J]. Geomatics and Information Science of Wuhan University, 2008, 33(4): 379-383.
1Institute of Command Automation,PLA University of Science and Technology,1 Haifuxiang,Nanjing 210007,China;2Institute of Electronic System Engineering,13 Dacheng Road,Beijing 100039,China
Node ranking is a promising area in complex networks researches.In this paper,a new node ranking algorithm based on topology potential is presented on the foundation of data field theory in cognitive physics,which can reflect the importance of nodes more precisely.An "axiom set" with natural language is established,which can concisely describes what the importance of node is.The approach of topology potential is more close to the "axiom set" than other approaches.In the end,the nodes are qualitatively partitioned using a hierarchical clustering method based on data fields.
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