Research literature clustering using diffusion maps
Nieminen, P., Pölönen, I., & Sipola, T. (2013). Research literature clustering using diffusion maps. Journal of Informetrics, 7(4), 874-886. https://doi.org/10.1016/j.joi.2013.08.004
Published inJournal of Informetrics
Copyright © 2013 Elsevier B.V. This is a final draft version of an article whose final and definitive version has been published in 'Journal of Informetrics' by Elsevier.
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.
Publication in research information system
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