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R. Ichise, H. Takeda and T. Muraki, “Research Community Mining with Topic Identification,” Proceedings of the Information Visualization, London, 2006, pp. 276- 281.

has been cited by the following article:

• TITLE: Scientific Communities Found Based on the Path Structure of Citation Network

  AUTHORS: Xiao Xiao, Song Cao, Lan Huang, Yutian Tang

  KEYWORDS: Citation Network; Scientific Communities Found; OPTICS Algorithm; Citation Path

  JOURNAL NAME: International Journal of Intelligence Science, Vol.2 No.1, January 14, 2012

  ABSTRACT: Based on the structure of citation network, the citation paths among papers, and the association strength such as coupling, co-citation and etc. between two papers are defined in this article. We give formulas to quantify the association strength in order to establish citation network model based on the citation path structure. Then, the OPTICS algorithm is brought into the scientific communities found model since it can solve the parameter’s setting problem. This method combines various kinds of path structures together and thus it contains more complete citation network information. Experiments and analysis reveal the reliability and validity of this method.