文章基本信息

标题：Scientific Communities Found Based on the Path Structure of Citation Network
本地全文：下载
作者：Xiao Xiao ; Song Cao ; Lan Huang 等
期刊名称：International Journal of Intelligence Science
印刷版ISSN：2163-0283
电子版ISSN：2163-0356
出版年度：2012
卷号：2
期号：1
页码：16-21
DOI：10.4236/ijis.2012.21003
出版社：Scientific Research Publishing
摘要：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.
关键词：Citation Network; Scientific Communities Found; OPTICS Algorithm; Citation Path