BIBLIOBICLUSTER: A Bicluster Algorithm for Bibliometrics - Artificial Intelligence Applications and Innovations Access content directly
Conference Papers Year : 2021

BIBLIOBICLUSTER: A Bicluster Algorithm for Bibliometrics

Gloria Gheno
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Abstract

Bibliographic coupling and co-citation analysis methodologies were proposed in the early 60’s and 70’s to study the structure and production of scientific communities. Bibliographic coupling is fundamental to understand the current state of a particular research area and its possible and potential future direction. Co-citation analysis, instead, is used to map the roots of academic works, fundamental to the development of a specific research field. With the first method, papers which have a common reference are grouped and the strength of their link results from the number of references in common. The second, instead, groups together the papers co-cited by one or more documents. Both methodologies assume that the papers citing the same articles or cited from the same article have similar aspects. Since until now these two methodologies have been considered separately, a new algorithm, based on bicluster analysis, which applies them together, is proposed. The importance of this new methodology is therefore to group together the paired bibliographic papers and the co-cited references but keeping them divided. In the resulting bicluster, the references grouped together represent the roots from which was born the trend to which the citing papers, grouped together, adhere.
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hal-03287695 , version 1 (15-07-2021)

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Gloria Gheno. BIBLIOBICLUSTER: A Bicluster Algorithm for Bibliometrics. 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.271-282, ⟨10.1007/978-3-030-79150-6_22⟩. ⟨hal-03287695⟩
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