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  • 标题:A Novel Local Maximum Potential Point Search Algorithm for Topology Potential Field
  • 本地全文:下载
  • 作者:Zhixiao Wang ; Zhaotong Chen ; Ya Zhao
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2014
  • 卷号:7
  • 期号:2
  • 页码:1-8
  • DOI:10.14257/ijhit.2014.7.2.01
  • 出版社:SERSC
  • 摘要:Topology potential field is a novel model to describe interaction and association ofnetwork nodes, which has attracted plenty of attention in community detection, nodeimportance evaluation and network hot topics detection. The local maximum potentialpoint search is a critical step for this research. Hill-climbing is a traditionalalgorithm for local maximum point search, which may leave out some local maximumpotential points, and search performance is greatly influenced by initial nodesequence. Based on the detailed analysis of local maximum potential points'characteristics, this paper presents a novel local maximum potential point searchalgorithm. The results of simulation experiments showed that the new algorithm hasbetter performance than the traditional hill-climbing method. It can find all localmaximum potential points with high search efficiency.
  • 关键词:Complex network; topology potential field; local maximum potential;point
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