Cannibalism in medical topic networks

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Analyzing research activities over time can give insight into the research trend and knowledge structure of a domain. Research publication activity of a topic can be measured by a network of keyword terms and their relations in the specific area. The paper analyzes medical topic networks to interpret how clusters and keyword terms change over time. Keywords are extracted from 9730,671 research publications of twenty medical topics over 40 years. Experiments show there is cannibalism which occurs when one cluster is consumed into other clusters of medical topic networks in 50% of the medical topics analyzed. The decrease of modularity values of cannibalism topics shows that research topics collaborate actively and that multidisciplinary fields have emerged over time. (C) 2016 Elsevier B.V. All rights reserved
Publisher
ELSEVIER SCIENCE BV
Issue Date
2016-09
Language
English
Article Type
Article
Citation

KNOWLEDGE-BASED SYSTEMS, v.108, pp.168 - 178

ISSN
0950-7051
DOI
10.1016/j.knosys.2016.05.017
URI
http://hdl.handle.net/10203/213218
Appears in Collection
IE-Journal Papers(저널논문)
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