基于合著与引用加权的专家知识地图构建研究

Construction of Expert Knowledge Map Based on Co-Author Network and Citation Network

[目的/意义]针对传统专家知识地图信息含量少,构建方式单一等问题,提出一种综合考虑主题、专家合著与引用网络等信息的专家知识地图构建方法,以丰富专家知识地图的内涵,完善专家知识地图的结构。[方法/过程]综合分析专家间的合著关系,引用关系以及关键词和作者的共现关系,通过构造模型将这三者进行有机融合,并以2005-2014年间图书情报领例,在对文献题录信息分析的基础上,将作者的主题相关性、合著影响力以及引用网络信息加以整合。[结果/结论]由于节点间的连线具有不同的性质,通过复合模型构造的知识地图不仅能反映作者、主题间的丰富信息,还增加了信息的可获取性。

[Purpose/Significance]In order to solve the defects of traditional expert knowledge map,this research presents a method to construct expert knowledge map,which combines topic relevance,co-author situation,and citation network,to enrich the value of expert knowledge map and improve its structure.[Method/Process]The research analyzes the co-authorship,citation and co-occurrence of keywords and authors,then builds a model to integrate these relations.Taking library and information science as an example,this research integrates the topic correlation,co-authorship impact and citation network.[Result/Conclusion]Because of the multi-attributes between nodes,the knowledge map based on composite model not only can provide various information about authors and topics,but also can increase the accessibility of information.