A refined method for computing bibliographic coupling strengths
Si Shen,
Danhao Zhu,
Ronald Rousseau,
Xinning Su and
Dongbo Wang
Journal of Informetrics, 2019, vol. 13, issue 2, 605-615
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.
Keywords: Bibliographic coupling; Coupling strength; TF-IDF; Sen-gan similarity; Vladutz-cook bibliographic coupling formula (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1751157716300244
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:13:y:2019:i:2:p:605-615
DOI: 10.1016/j.joi.2019.01.012
Access Statistics for this article
Journal of Informetrics is currently edited by Leo Egghe
More articles in Journal of Informetrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().