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Enhancing direct ci...
Abstract
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- The effects of enhancing direct citations, with respect to publication–publication relatednessmeasurement, by indirect citation relations (bibliographic coupling, cocitation, and extendeddirect citations) and text relations on clustering solution accuracy are analyzed. Forcomparison, we include each approach that is involved in the enhancement of direct citations.In total, we investigate the relative performance of seven approaches. To evaluate theapproaches we use a methodology proposed by earlier research. However, the evaluationcriterion used is based on MeSH, one of the most sophisticated publication-level classificationschemes available. We also introduce an approach, based on interpolated accuracy values,by which overall relative clustering solution accuracy can be studied. The results show thatthe cocitation approach has the worst performance, and that the direct citations approach isoutperformed by the other five investigated approaches. The extended direct citations approachhas the best performance, followed by an approach in which direct citations are enhancedby the BM25 textual relatedness measure. An approach that combines direct citations withbibliographic coupling and cocitation performs slightly better than the bibliographic couplingapproach, which in turn has a better performance than the BM25 approach.
Subject headings
- SAMHÄLLSVETENSKAP -- Medie- och kommunikationsvetenskap -- Biblioteks- och informationsvetenskap (hsv//swe)
- SOCIAL SCIENCES -- Media and Communications -- Information Studies (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
Keyword
- citation-based relatedness measures
- Clustering solution accuracy
- Community detection
- Enhancing direct citations
- MeSH
- Text-based relatedness measures
- Biblioteks- och informationsvetenskap
- Library and Information Science
Publication and Content Type
- ref (subject category)
- art (subject category)
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