数字图书馆论坛2023，Vol.19Issue(11)：53-61,9.DOI:10.3772/j.issn.1673-2286.2023.11.007
基于网络结构变化测度科研论文重要度的方法研究
Importance Measurement of Scientific Article Based on Effect to the Academic Community Networks Structure
摘要
Abstract
The inheritance and interaction of knowledge are contained in the interaction process of scholars,which form a complex dynamic network.From the perspective of network evolution dynamics,this paper explores the importance of a node by changing the original network structure,and applies this idea to the literature network to measure the importance of node papers.After overlaying and integrating each test paper network with the original basic network of the academic community,multiple indicators such as node number,node degree,edge number,edge weight,and network density are used to measure the changes in network structure before and after adding each paper.Then the comprehensive score of the network structure indicators is used to measure the importance of node papers.The paper conducts an empirical study based on scientific articles of infectious diseases field from 2013 to 2018 in Web of Science and uses the au-thor citation network and topic citation network from 2013 to 2017 as the basic network of academic communities.Based on basic network,the comprehensive score of the network after adding the citation network for each paper in 2018 is calculated as the importance of the node paper.By referring to the citation data from 2018,it is proven that the importance score is strongly correlated with the frequency of citations.关键词
重要度/学术社区/作者引用网络/主题引用网络Key words
Importance/Research Community/Author Citation Network/Research Topic Citation Network分类
社会科学引用本文复制引用
郭红梅,陈星宇,李超,马峥..基于网络结构变化测度科研论文重要度的方法研究[J].数字图书馆论坛,2023,19(11):53-61,9.基金项目
本研究得到中国科学技术信息研究所创新研究基金面上项目"面向高端交流平台建设的文献多维属性聚类和代表作成果遴选方法"(编号:MS2023-07)资助. （编号:MS2023-07）
