Research literature clustering using diffusion maps

Paavo Nieminen, Ilkka Pölönen and Tuomo Sipola

Journal of Informetrics, 2013, vol. 7, issue 4, 874-886

Abstract: We apply the knowledge discovery process to the mapping of current topics in a particular field of science. We are interested in how articles form clusters and what are the contents of the found clusters. A framework involving web scraping, keyword extraction, dimensionality reduction and clustering using the diffusion map algorithm is presented. We use publicly available information about articles in high-impact journals. The method should be of use to practitioners or scientists who want to overview recent research in a field of science. As a case study, we map the topics in data mining literature in the year 2011.

Keywords: Knowledge discovery process; Literature mapping; Data mining; Clustering; Diffusion map (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:7:y:2013:i:4:p:874-886

DOI: 10.1016/j.joi.2013.08.004

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