首页> 外文期刊>Journal of the American Society for Information Science and Technology >Scholarly Network Similarities: How Bibliographic Coupling Networks, Citation Networks, Cocitation Networks, Topical Networks, Coauthorship Networks,and Coword Networks Relate to Each Other
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Scholarly Network Similarities: How Bibliographic Coupling Networks, Citation Networks, Cocitation Networks, Topical Networks, Coauthorship Networks,and Coword Networks Relate to Each Other

机译:学术网络的相似性:书目耦合网络,引文网络,引文网络,主题网络,共同作者网络和同义字网络如何相互关联

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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, coauthor-ship 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.
机译:这项研究探索了在机构层面上汇总的六种学术网络之间的相似性,包括书目耦合网络,引文网络,引文网络,主题网络,共同作者网络和词汇网络。选择余弦距离以测量六个网络之间的相似度。作者发现,主题网络和共同作者网络具有最低的相似性。引文网络与引文网络具有高度相似性;书目耦合网络和引文网络具有高度相似性;词汇网络和主题网络具有高度相似性。此外,通过多维标度,可以在六个网络中确定两个维度:维度1可以解释为基于引用的与非引用的,维度2可以解释为社交与认知的。作者建议使用混合或异构网络来研究研究互动和学术交流。

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