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Community Detection Using Citation Relations and Textual Similarities in a Large Set of PubMed Publications
Uppsala University, Department of Statistics, Sweden.
Scientometrics & Evaluation Research Center (SERC), Chengdu Library and Information Center of Chinese Academy of Sciences, Chengdu, China.
Umeå University, Faculty of Social Sciences, Department of Sociology. Umeå University, Umeå University Library. (Inforsk)ORCID iD: 0000-0002-7653-4004
Centre for Science and Technology Studies, Leiden University. The Netherlands.
2019 (English)In: Proceedings of the 17th International Conference on Scientometrics & Informetrics / [ed] Giuseppe Catalano, Cinzia Daraio, Martina Gregori, Henk F. Moed and Giancarlo Ruocco, International Society for Scientometrics and Informetrics , 2019, Vol. 1, p. 1380-1392Conference paper, Published paper (Refereed)
Abstract [en]

In this contribution, the effects of enhancing direct citations, with respect to publication-publication relatedness measurement, by indirect citation relations (bibliographic coupling and co-citation) and text relations on clustering accuracy are analyzed. In total, we investigate six approaches. In one of these, direct citations are enhanced by both bibliographic coupling and co-citation, whereas text relations are used to enhance direct citations in another approach. In addition to an approach based on direct citations only, we include in the study, for comparison reasons, each approach that is involved in the enhancement of direct citations. For the evaluation of the approaches, we use a methodology proposed by earlier research. However, the used evaluation criterion is based on MeSH, arguable the most sophisticated item-level classification scheme available. The results show that the co-citation approach has the worst performance, and that the direct citations approach is outperformed by the other four investigated approaches. An approach in which direct citations are enhanced by the BM25 textual relatedness measure has the best performance, followed by the approach that combines direct citations with bibliographic coupling and co-citation. The latter performs slightly better than the bibliographic coupling approach, which in turn has a better performance than the BM25 approach.

Place, publisher, year, edition, pages
International Society for Scientometrics and Informetrics , 2019. Vol. 1, p. 1380-1392
National Category
Information Studies Other Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-163438ISBN: 978-88-3381-118-5 (print)OAI: oai:DiVA.org:umu-163438DiVA, id: diva2:1352757
Conference
17th INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS. September 2-5, 2019 Sapienza University, ROME
Available from: 2019-09-19 Created: 2019-09-19 Last updated: 2019-11-05Bibliographically approved

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CiteExportLink to record
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