Application of Bibliographic Coupling Network Analysis in Paper Evaluation
Explore whether the paper similarity network based on citation coupling can be used to identify important papers in a certain field.Based on the citation coupling similarity of papers,a network is constructed to analyze whether the differences in network attributes between Faculty Opinions recommended papers and non-Faculty Opinions recom-mended papers can be used for paper evaluation.The results show that the network density of important papers in specific fields is relatively high,with a small average path length and a small number of connected components,and few isolated points,indicating a small-world property.This suggests that the research topics of important papers in specific fields are concentrated,and there is a lot of knowledge dissemination,information exchange,and collaborative research between papers.There are significant differences in degree,eccentricity,closeness centrality,betweenness centrality,PageRank,number of triangles,and eigenvector centrality between important and non-important papers in specific fields.The study reveals that there are differences in network attributes between important and non-important papers in specific fields in the citation coupling similarity network,and using network attributes to evaluate papers has certain significance.
paper evaluationbibliographic couplingsocial network analysisFaculty Opinion
万方数据
维普
