图情领域二模网络研究:概念、脉络及应用
Research on the Two-Mode Networks in the Field of Library&Information Science:Concepts,Context,and Applications
吴江 1林平 2黄晓 3贺超城1
作者信息
- 1. 武汉大学信息管理学院,武汉 430072;武汉大学电子商务研究与发展中心,武汉 430072;武汉数据智能研究院,武汉 430072
- 2. 武汉大学信息管理学院,武汉 430072;武汉大学电子商务研究与发展中心,武汉 430072
- 3. 华中师范大学信息管理学院,武汉 430079
- 折叠
摘要
二模网络能够全面深入细致地挖掘众多复杂网络场景中的丰富信息.图情领域中的众多研究对象组成的网络具有天然的二分属性,二模网络在该领域的应用取得了较好的研究成果.本文系统梳理了图情领域二模网络的研究现状.首先,对二模网络相关概念进行了界定,包括隶属网络、二分网络等.其次,厘清了二模网络的研究脉络,包括二模网络的研究方法、基本流程和应用场景.再其次,总结了二模网络在知识管理与知识发现、科研合作与学术评价、信息传播与网络舆情、用户需求与信息服务等图情领域的应用逻辑.最后,探讨了二模网络在图情领域的研究前景,为信息资源管理学科体系构建贡献了基础方法.
Abstract
Two-mode networks are capable of mining the rich information in many complex network scenarios in a com-prehensive,in-depth,and detailed manner.As the network comprising the many research objects in the field of Library&Information Science has a naturally dichotomous property,the application of two-mode networks in this field has yielded better research results.This study provides a systematic overview of the current state of research on two-mode networks in the field of Library&Information Science.First,we define the concepts related to two-mode networks,including affilia-tion and bipartite networks.Second,the research lineage of two-mode networks is clarified,including the respective re-search methods,basic processes,and application scenarios.Third,we summarize the logic of applying two-mode networks in fields related to knowledge management and discovery,scientific cooperation and academic evaluation,information dis-semination and network public opinion,user needs,and information services.Finally,the research prospects of two-mode networks in the field of Library&Information Science are explored,contributing to the basic method for the construction of a discipline system for information resource management.
关键词
图书情报/二模网络/隶属网络/概念界定/研究脉络Key words
library&information science/two-mode network/affiliation network/conceptual definition/research frame-work引用本文复制引用
基金项目
国家自然科学基金重点项目(72232006)
国家自然科学基金项目(72204189)
出版年
2024
NETL
NSTL
万方数据