Skip to Main content Skip to Navigation
Book sections

Web Co-citation: Discovering Relatedness Between Scientific Papers

Abstract : In this paper we review two well-known citation methods to find relatedness between scientific papers: co-citation and bibliographic coupling. We propose a practical method to estimate the co-citation relatedness using the Google search engine. We call this method Web co-citation. We conducted experiments on a collection of scientific papers to compare the performances of different methods. The experimental results show that our approach, despite its simplicity, is efficient in discovering the relatedness between scientific papers.
Document type :
Book sections
Complete list of metadatas

https://hal-emse.ccsd.cnrs.fr/emse-00680438
Contributor : Florent Breuil <>
Submitted on : Monday, March 19, 2012 - 2:50:12 PM
Last modification on : Wednesday, June 24, 2020 - 4:18:32 PM

Links full text

Identifiers

Citation

Thanh Trung Van, Michel Beigbeder. Web Co-citation: Discovering Relatedness Between Scientific Papers. Wegrzyn-Wolska, Katarzyna : Szczepaniak, Piotr. Advances in Intelligent Web Mastering, Springer Berlin / Heidelberg, p 343 - 348, 2007, ⟨10.1007/978-3-540-72575-6_55⟩. ⟨emse-00680438⟩

Share

Metrics

Record views

211