基于连通性的引文网络结构分析新视角:主路径分析被引量：20

Main path analysis: a new perspective to structural analysis of citation network based on connectivity

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摘要引文网络主路径方法的提出对于解决特定学科(领域)的关键性文献识别和主流研究线索提取具有重要意义。本文从科学史研究与科学结构揭示的关键文献识别和主流研究提取的实践需求入手,深刻剖析引文网络主路径分析方法的产生背景、基本内涵与算法实现。从引文网络主路径分析的实践应用及与其它方法的整合两方面探讨该方法的演化发展状况,并总结主路径分析在理论及应用研究中存在的主要问题。 It is very important to identify the critical literature and extract the researches mainstream clues in specific subject areas with main path analysis. In this paper, the practices needs to identify the critical literature and extract the researches mainstream clues are discussed in science history researches and scientific structure reveals. Then the background, definition, and algorithm of main path a- nalysis are analyzed in -depth, its practical application and integration with other network analysis methods are presented to show the evolutionary development, and the main problems in theory researches and practices are summarized.

作者韩毅金碧辉

机构地区西南大学计算机与信息科学学院中国科学院文献情报中心

出处《科学学研究》 CSSCI 北大核心 2012年第11期1634-1640,共7页 Studies in Science of Science

基金西南大学科技基金资助项目(SWU112001)

关键词引文网络主路径分析连通性 citation network main path analysis（ MPA ） connectivity

分类号 G301 [文化科学]

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参考文献45

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