Measuring the Centrality of the References in Scientific Papers - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Measuring the Centrality of the References in Scientific Papers

Résumé

Citation analysis is considered as major and one of the most popular branches of bibliometrics. Citation analysis is based on the assumption that all citations have similar values and weights each equally. Speciï¿¿c research ï¿¿elds like content-based citation analysis (CCA) seeks to explain the "how" and "why" of citation behavior. In this paper we tackle to explain the "how" from a centrality indicator based on factors which are built automatically according to the authors' citation behavior. This indicator allows to evaluate bibliographical references' importance for reading the paper with which user interacts. From objective quantitative measurements, factors are computed in order to characterize the level of granularity where citations are used. By the setting of the centrality indicator's factors we can highlight citations which tend towards a partial or a global construction of the authors' discourse. We carry out a pilot study in which we test our approach on some papers and discuss the challenges in carrying out the citation analysis in this context. Our results show interesting and consistent correlations between the level of granularity and the signiï¿¿cance of citation inï¿¿uences.
Fichier principal
Vignette du fichier
acmart_master.pdf (1.26 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01958737 , version 1 (25-01-2019)

Identifiants

Citer

Anaïs Ollagnier, Patrice Bellot, Sébastien Fournier. Measuring the Centrality of the References in Scientific Papers. ACM Symposium on Document Engineering 2018, Aug 2018, Halifax, Canada. pp.1-4, ⟨10.1145/3209280.3229104⟩. ⟨hal-01958737⟩
113 Consultations
184 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More