时变网络研究:概念、应用与展望  

Temporal Networks:Concept,Application,and Perspective

作　　者：吴江[1,2,3] 于洋 丁宏昊 陶成煦[1,2] 左任衔 贺超城 Wu Jiang;Yu Yang;Ding Honghao;Tao Chengxu;Zuo Renxian;He Chaocheng(School of Information Management,Wuhan University,Wuhan 430072;Center for E-commerce Research and Development,Wuhan University,Wuhan 430072;Wuhan Institute of Data Intelligence,Wuhan 430072;Wuhan University Shenzhen Research Institute,Shenzhen 519057)

机构地区：[1]武汉大学信息管理学院,武汉430072 [2]武汉大学电子商务研究与发展中心,武汉430072 [3]武汉数据智能研究院,武汉430072 [4]武汉大学深圳研究院,深圳519057

出　　处：《情报学报》2025年第1期103-122,共20页Journal of the China Society for Scientific and Technical Information

基　　金：国家自然科学基金重点项目“网络视角下乡村产业互联网的数智赋能研究”(72232006);国家自然科学基金项目“主导-参与视角下科研人员合作多样性对产出的影响机理研究”(72204189)。

摘　　要：时变网络作为一种捕捉动态交互的网络表示形式,能够为网络舆情、科研合作等图书情报领域中的动态系统提供更真实的刻画。考虑到目前图情领域中时变网络的应用仍处于起步阶段,本文对图情领域中的时变网络进行了系统梳理。首先,本文详细介绍了时变网络的概念和研究方法,明确了时变网络的定义,提出了结构种类、输出粒度的度量,阐述了时变网络研究方法的来源与发展;其次,从统计学角度对时变网络现有研究进行关键词共现网络和主题聚类分析,剖析时变网络在当前图情领域中的研究热点与应用场景;再其次,基于现有应用场景,对科技合作与科学计量、医学信息学与健康信息学、信息推荐与数字人文、社交媒体与网络舆情、新兴技术与智慧城市五类图情领域时变网络进行相关研究成果的调研;最后,从宏观、中观和微观三个角度提出时变网络在图情领域中的未来研究展望,为图情领域时变网络相关研究提供了启示。As a representation that captures dynamic interactions,temporal networks can provide an accurate depiction of dynamic systems in fields such as network public opinion and scientific collaboration.Because the application of temporal networks in these areas is in its nascent stage,this study systematically reviews the use of temporal networks in information science.First,a detailed introduction to the concept and research methods of temporal networks is provided.Specifically,their definitions are presented,metrics for structural types and output granularity are proposed,and the origins and development of temporal-network research methods are explained.Second,a keyword co-occurrence network and topic-clustering analysis is conducted on existing studies to identify the current research hotspots and application scenarios for temporal networks in information science.Third,based on existing application scenarios,this study analyzes the related findings in five areas of information science:scientific collaboration and scientometrics,medical informatics and health informatics,information recommendation and digital humanities,network public opinion and social media,and emerging technologies and smart cities.Finally,future research directions for temporal networks in information science are proposed from macro-,meso-,and micro-perspectives,thus providing insights for studies related to temporal networks in this domain.

关 键 词：时变网络 时序网络 动态网络 图情领域 复杂网络 

分 类 号：O157.5[理学—数学]