科学数据引用网络建模及演化特征分析--以基因表达数据集为例  

Modeling and Evolution Analysis of Scientific Data Citation Network--Set the Gene Expression Dataset as the Example

作　　者：杨宁[1,2] 张志强 黄飞虎[3] 张鑫 Yang Ning;Zhang Zhiqiang;Huang Feihu;Zhang Xin(Chengdu Library and Information Center,Chinese Academy of Sciences,Chengdu 610041,China;Department of Information Resources Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China;College of Computer Science,Sichuan University,Chengdu 610065,China)

机构地区：[1]中国科学院成都文献情报中心,四川成都610041 [2]中国科学院大学经济与管理学院信息资源管理系,北京100190 [3]四川大学计算机学院,四川成都610065

出　　处：《现代情报》2024年第5期45-57,共13页Journal of Modern Information

基　　金：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);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)。

摘　　要：[目的/意义]将社会网络分析方法应用于科学数据引用特征及规律研究,可以直观呈现出数据引用的复杂网络结构,挖掘数据引用更深层次的价值。[方法/过程]通过辨析科学数据引用特征,构建GEO数据共被引网络模型,并对网络的整体演化、核心个体、社区结构等进行分析。[结果/结论]研究结果表明,GEO数据共被引网络的度和度分布空间差异明显,平均路径长度较短且聚集系数较大,网络中核心个体优势明显,社区结构稳定且特征突出,社区间联系逐渐增强。[Purpose/Significance]The study applies the social network analysis method to the research on the characteristics 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 coefficient is larger,the core individual advantages in the network are obvious,the community structure is stable and the characteristics 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 

分 类 号：G203[文化科学—传播学]