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| Mapping the Subject Structure of Library and Information Science through Overlapping Community Detection in Citation Network |
| Wang Wei1,2, Yang Jianlin1,2 |
1.School of Information Management, Nanjing University, Nanjing 210023
2.Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing 210023 |
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Abstract Mapping the subject structure can promote theoretical and methodological research—further accelerating a discipline??s innovation and development. This paper proposes to visualize subject structure based on an overlapping community detection algorithm, which measures the knowledge flow between topics through directed h-degree and reveals overlapping node roles through the analysis of topological structure and content. We apply this method to the field of library and information science. The results show that the method can dig out fine-grained research topics. These topics, which include theoretical research in information science and library science, knowledge management, citation analysis, smart library, and library subject service, are closely related to other topics. Overlapping nodes are divided into core nodes, which have a higher betweenness centrality and degree, and edge nodes, which have a lower betweenness centrality and degree. The boundary between information science and library science is fuzzy, and the research subject is homogeneous and differentiated. A deep discipline integration, which must be based on facilitating the theoretical and practical research of the two disciplines, will accelerate the development of library and information science.
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Received: 09 August 2019
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