现代情报2024，Vol.44Issue(5)：45-57,13.DOI:10.3969/j.issn.1008-0821.2024.05.004
科学数据引用网络建模及演化特征分析
Modeling and Evolution Analysis of Scientific Data Citation Network
摘要
Abstract
[Purpose/Significance]The study applies the social network analysis method to the research on the char-acteristics and laws of scientific data citations can intuitively present the complex network structure of data citations,and taps the deeper value of data citations.[Method/Process]The study constructed a GEO data co-citation network model by analyzing the citation characteristics of scientific data,and analyzed the overall evolution of the network,core individuals,and community structures.[Result/conclusion]The research results show that the degree and degree distribution space of the GEO data co-citation network are significantly different,the average path length is shorter and the aggregation coeffi-cient is larger,the core individual advantages in the network are obvious,the community structure is stable and the charac-teristics are prominent,and the community The connection between them is gradually strengthened.关键词
科学数据/数据引用/网络建模/结构特征Key words
scientific data/data citation/network modeling/structural features分类
社会科学引用本文复制引用
杨宁,张志强,黄飞虎,张鑫..科学数据引用网络建模及演化特征分析[J].现代情报,2024,44(5):45-57,13.基金项目
中国科学院文献情报能力建设专项项目"支撑院党组决策的战略情报感知平台建设与应用"(项目编号:292021000479) （项目编号:292021000479）
ISTIC-CLARIVATE ANALYTICS科学计量学联合实验室开放基金项目"引文视角下科学数据出版及使用现状研究——以高能物理领域为例"(项目编号:IT2214). （项目编号:IT2214）
