Research dynamics: Measuring the continuity and popularity of research topics |
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| Institution: | 1. Institute for Education and Information Sciences, IBW, University of Antwerp (UA), Venusstraat 35, Antwerp B-2000, Belgium;2. KU Leuven, Leuven B-3000, Belgium;1. Bureau d’études et de recherches en science de l’information, 09 BP 477 Saint Michel, Cotonou, Benin;2. University of Antwerp, Institute for Education and Information Sciences, IBW, Venusstraat 35, B-2000 Antwerp, Belgium;1. Laboratory for Studies of Research and Technology Transfer, Institute for System Analysis and Computer Science (IASI-CNR), National Research Council of Italy, Italy;2. Italian National Agency for the Evaluation of Universities and Research Institutes (ANVUR), Italy;3. Department of Management and Engineering University of Rome “Tor Vergata”, Italy;1. School of Information Management, Wuhan University, Luojia Shan, Wuhan, Hubei Province 430072, PR China;2. School of Information and Safety Engineering, Zhongnan University of Economics and Law, 182# Nanhu Avenue, East Lake High-tech Development Zone, Wuhan 430073, PR China |
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| Abstract: | Dynamic development is an intrinsic characteristic of research topics. To study this, this paper proposes two sets of topic attributes to examine topic dynamic characteristics: topic continuity and topic popularity. Topic continuity comprises six attributes: steady, concentrating, diluting, sporadic, transforming, and emerging topics; topic popularity comprises three attributes: rising, declining, and fluctuating topics. These attributes are applied to a data set on library and information science publications during the past 11 years (2001–2011). Results show that topics on “web information retrieval”, “citation and bibliometrics”, “system and technology”, and “health science” have the highest average popularity; topics on “h-index”, “online communities”, “data preservation”, “social media”, and “web analysis” are increasingly becoming popular in library and information science. |
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| Keywords: | Topic analysis Networks Popularity Continuity Dynamics |
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