基于互引和共被引的期刊关联分析比较  

Comparative Analysis of Journal Association Based on Mutual Citation and Cocitation

作　　者：刘超[1] 李秀霞[1] 李林[1] 宋凯[1] 

机构地区：[1]曲阜师范大学传媒学院,山东日照276826

出　　处：《情报科学》2017年第7期96-100,共5页Information Science

摘　　要：【目的/意义】期刊互引和期刊共被引不仅能揭示期刊之间的强弱关联,还可以据此划分期刊群。本文目的在于对比互引和共被引在分析期刊关联,揭示期刊作用,以及划分期刊类别上的效果差异。【方法/过程】以图书情报学的18种CSSCI核心期刊为例,构建期刊互引矩阵和期刊共被引矩阵,运用UCINET生成引文网络。分别对其网络结构、中介中心性、凝聚子群进行对比分析。【结果/结论】期刊共被引在区分关联的强弱、分析期刊桥梁作用上有优势,而期刊互引在划分学术期刊群上更具合理性。[Purpose/significance] Journal mutual citation and journal co-citation can not only reveal the strong or weak correlation between journals, but also can classifiy the classification of journals. The purpose of this paper is to explore and contrast the similarities and differences between the mutual citation and co-citation in analyzing journal association, reveal- ing journals role and classifying journals group. [Method/process] Taking 18 CSSCI core journals in library and informa- tion science as examples, this paper constructs the mutual index matrix and co-citation matrix, and uses UCINET to gener- ate citation network. The network structure, betweenness centrality and cohesive subgroup are compared and analyzed re- spectively. [Result/conclusion] Co-citation has more advantages in distinguishing the relationship between the strong and the weak, analyzing the bridge role of journals, and mutual citation is more reasonable in the division of academic journals.

关 键 词：关联分析 社会网络分析 凝聚子群分析 期刊互引 期刊共被引 

分 类 号：G237.5[文化科学] G250.2