Generating Local Maps of Science using Deep Bibliographic Coupling

Autor:	Candel, Gaëlle, Naccache, David
Rok vydání:	2021
Předmět:	Computer Science - Digital Libraries Computer Science - Artificial Intelligence 01A85 H.5 I.m J.m
Zdroj:	July 12-15, 2021 18th International Conference of the International Society for Scientometrics and Informetrics Leuven, Belgium
Druh dokumentu:	Working Paper
Popis:	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. Comment: Submitted to the International Conference on Scientometrics and Informetrics. Accepted as a poster. Here, long version
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2109.10007 Zobrazit plný text záznamu View this record from Arxiv