基于K-核分层分解的“知识服务”研究主题层次探析

Research on the Topic Hierarchy of Knowledge Service Based on K-core Hierarchical Decomposition

[目的/意义]旨在丰富已有的主题分析方法,探索知识服务领域的研究主题层次,分析当前知识服务的研究主题和热点。[方法/过程]首先,从知网获取数据构造关键词网络表示知识服务研究方向的主题关系;然后,运用Ucinet和Netdraw软件利用K-核分层分解法将关键词网络分解成壳;最后,根据每个壳的密度和聚类系数,将相似壳合并成基本层、中间层、细节层、边缘层四个层,从而揭示知识服务研究的具体研究主题和内容。[结果/结论]研究发现基础层27个关键词代表了该领域最具影响力的概念,中间层作为连接基础层和细节层的媒介,既是基础层概念的细化,又是细节层子簇的父节点。通过K-核分层分解方法能够较好的揭示知识服务领域的研究主题层次和演化方向。

[Purpose/significance]In order to enrich the existing topic analysis methods the paper explores the research topic hierarchy in the field of knowledge services and analyzes the current research topics and hot spots of knowledge services.[Method/process]First the key words network is constructed by acquiring data from CNKI to represent the subject relationship of the research direction of knowledge service;then the key words network is decomposed into shells by using Ucinet and Netdraw software based on K-core hierarchical decomposition method;finally according to the density and clustering coefficient of each shell the similar shells are combined into four layers:basic layer middle layer detail layer and edge layer so as to reveal knowledge service specific research topics and contents of the study.[Result/conclusion]In the basic layer the 27 key words represent the most influential concept in the field.The middle layer as a medium connecting the basic layer and the detail layer is both the refinement of the concept in the basic layer and the parent node of sub-clusters in the detail layer.K-core hierarchical decomposition method can better reveal the research topic hierarchy and evolution direction in the field of knowledge services.