Return to basics: Clustering of scientific literature using structural information
作者：
Highlights：
• We propose a novel approach to emulate the clustering results of co-citation (CC) and bibliographic coupling (BC).
• The proposed method simply replicates a node into two distinct nodes: a citing node and a cited node.
• Citing nodes emulates BC and cited nodes imitates CC with very low computational loads.
• The proposed method generally outperformed BC and CC regarding cluster accuracy measured by normalized mutual information.
• The analysis of intracluster and intercluster geographical proximity suggests that the proposed method retains additional information than BC and CC.
摘要
•We propose a novel approach to emulate the clustering results of co-citation (CC) and bibliographic coupling (BC).•The proposed method simply replicates a node into two distinct nodes: a citing node and a cited node.•Citing nodes emulates BC and cited nodes imitates CC with very low computational loads.•The proposed method generally outperformed BC and CC regarding cluster accuracy measured by normalized mutual information.•The analysis of intracluster and intercluster geographical proximity suggests that the proposed method retains additional information than BC and CC.
论文关键词：Clustering,Mapping,Bibliographic coupling,Co-citation,Relatedness,Bipartite network
论文评审过程：Received 10 April 2020, Revised 22 September 2020, Accepted 25 September 2020, Available online 10 October 2020, Version of Record 10 October 2020.
论文官网地址：https://doi.org/10.1016/j.joi.2020.101099
