Scholarly Network Similarities: How Bibliographic Coupling Networks, Citation Networks, Cocitation Networks, Topical Networks, Coauthorship Networks, and Coword Networks Relate to Each Other

被引:192
作者
Yan, Erjia [1 ]
Ding, Ying [1 ]
机构
[1] Indiana Univ, Sch Lib & Informat Sci, Bloomington, IN 47401 USA
来源
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY | 2012年 / 63卷 / 07期
关键词
network analysis; citation networks; bibliographic coupling; co-citation analysis; joint authorship; INFORMATION-SCIENCE; AUTHOR COCITATION; PATTERNS; COLLABORATION; DISCIPLINE; PAGERANK;
D O I
10.1002/asi.22680
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study explores the similarity among six types of scholarly networks aggregated at the institution level, including bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks. Cosine distance is chosen to measure the similarities among the six networks. The authors found that topical networks and coauthorship networks have the lowest similarity; cocitation networks and citation networks have high similarity; bibliographic coupling networks and cocitation networks have high similarity; and coword networks and topical networks have high similarity. In addition, through multidimensional scaling, two dimensions can be identified among the six networks: Dimension 1 can be interpreted as citation-based versus noncitation-based, and Dimension 2 can be interpreted as social versus cognitive. The authors recommend the use of hybrid or heterogeneous networks to study research interaction and scholarly communications.
引用
收藏
页码:1313 / 1326
页数:14
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