Generating Local Maps of Science using Deep Bibliographic Coupling - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

Generating Local Maps of Science using Deep Bibliographic Coupling

Résumé

Bibliographic and co-citation coupling are two analytical methods widely used to measure the degree of similarity between scientific papers. These approaches are intuitive, easy to put into practice, and computationally cheap. Moreover, they have been used to generate a map of science, allowing visualizing research field interactions. Nonetheless, these methods do not work unless two papers share a standard reference, limiting the two papers usability with no direct connection. In this work, we propose to extend bibliographic coupling to the deep neighborhood, by using graph diffusion methods. This method allows defining similarity between any two papers, making it possible to generate a local map of science, highlighting field organization.
Fichier non déposé

Dates et versions

hal-03933696 , version 1 (10-01-2023)

Identifiants

  • HAL Id : hal-03933696 , version 1

Citer

Gaëlle Candel, David Naccache. Generating Local Maps of Science using Deep Bibliographic Coupling. 18th International Conference of the International Society for Scientometrics and Informetrics, Jan 2021, Leuven, Belgium. ⟨hal-03933696⟩
7 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More