A refined method for computing bibliographic coupling strengths. Issue 2 (May 2019)

• Record Type: Journal Article
• Authors: Shen, Si; Zhu, Danhao; Rousseau, Ronald; Su, Xinning; Wang, Dongbo
• Is Part Of: Journal of informetrics. Volume 13:Issue 2(2019)
• Page Start: 605
• Page End: 615
• Publication Date: 2019-05
• Subjects: Bibliographic coupling -- Coupling strength -- TF-IDF -- Sen-gan similarity -- Vladutz-cook bibliographic coupling formula; Library statistics -- Periodicals; Information science -- Statistical methods -- Periodicals; Bibliometrics -- Periodicals; Bibliothèques -- Statistiques -- Périodiques; Sciences de l'information -- Méthodes statistiques -- Périodiques; Bibliométrie -- Périodiques; 020.727
• DOI: 10.1016/j.joi.2019.01.012
• Languages: English
• ISSNs: 1751-1577

Abstract

Highlights: A new formula for calculating bibliographic coupling strength is provided. It is based on the TF-IDF formula as used in information retrieval. A derived formula for similarity calculation between documents is provided. The feasibility of these new formulae is shown on a large dataset. Abstract: We propose a new method for computing the bibliographic coupling strength between two documents. This new method is based on the TF-IDF formula from the field of information retrieval. It is shown that this formula is a valid alternative for the original formula introduced by Kessler and is, from a probabilistic point of view, a correction of the Vladutz-Cook formula. We further define a cosine based similarity formula generalizing the Sen-Gan coupling angle formula.