Interdisciplinary topics of information science: a study based on the terms interdisciplinarity index series

Haiyun Xu (), Ting Guo, Zenghui Yue, Lijie Ru and Shu Fang
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Haiyun Xu: Chengdu Library of Chinese Academy of Sciences
Ting Guo: Chengdu Library of Chinese Academy of Sciences
Zenghui Yue: Jining Medical University
Lijie Ru: Chengdu Library of Chinese Academy of Sciences
Shu Fang: Chengdu Library of Chinese Academy of Sciences

Scientometrics, 2016, vol. 106, issue 2, No 6, 583-601

Abstract: Abstract Interdisciplinarity is increasingly widespread. Many technological frontiers and hotspots are emerging in the intersecting research areas. The existing measurement indexes of interdisciplinarity are mostly based on the co-occurrence of authors, institutions, or references, and most focus on the tendency to interdisciplinarity. This paper introduces a new measurement index entitled topic terms interdisciplinarity (TI) for interdisciplinarity topic mining. Taking Information Science & Library Science (LIS) as a case study, this paper identifies interdisciplinary topics by calculating TI values together with Bet values, term frequency values, and others, and analyzes the evolution of interdisciplinary sciences based on social network analysis and time series analysis. It was found that the intersections of external disciplines and pivots of internal topics for LIS can be identified by the utilization of TI value and Bet values. The research has shown that the TI value can identify interdisciplinary topic terms well, and it will be an efficient indicator for interdisciplinary analysis by being complementary to other methods.

Keywords: Interdisciplinary; TI value; Topic mining; Co-occurrence network; Information Science & Library Science (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (15)

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DOI: 10.1007/s11192-015-1792-2

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