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,(11):53~61 |
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 |
投稿时间:2023-08-14 |
DOI:10.3772/j.issn.1673-2286.2023.11.007 |
中文关键词: 重要度;学术社区;作者引用网络;主题引用网络 |
英文关键词: Importance; Research Community; Author Citation Network; Research Topic Citation Network |
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。 |
作者 | 单位 | 郭红梅 | 中国科学技术信息研究所 | 陈星宇 | 中国科学技术信息研究所 | 李超 | 中国科学技术信息研究所 | 马峥 | 中国科学技术信息研究所 |
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中文摘要: |
知识的传承和交流蕴涵在学者的交互过程中,形成复杂的动态网络。从网络演化动力学视角出发,通过探索某节点对原有网络结构的改变来测度该节点的重要度,并将该思路沿用到文献网络中以测度节点论文的重要度。基于引用关系构建作者引用网络和主题引用网络,将每篇待测论文网络与学术社区原有基础网络叠加融合后,以节点数、节点度、边数、边权重、网络密度等多个指标测度每篇论文加入前后网络结构的改变,利用网络结构指标的综合得分衡量节点论文重要度。选用2013—2018年Web of Science数据库中传染病领域数据为实验数据,以2013—2017年作者引用网络和主题引用网络为学术社区基础网络,计算2018年每篇论文引文网络加入后对原有网络结构改变的综合得分作为节点论文的重要度,再以2018年引文数据为参照数据,证明论文重要度得分与被引频次有较强的相关性。 |
英文摘要: |
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 author 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. |
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