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Titre
Trends and topics in geographically weighted regression research from 1996 to 2019
Autor(es)
Sujet
bibliometric analysis
collaboration pattern
geographically weighted regression
Latent Dirichlet allocation
machine learning
topic modelling
Clasificación UNESCO
1209 Estadística
Fecha de publicación
2021
Resumen
[EN]This research was conducted in order to improve the understanding of the struc-ture, contents, and trend of topics within the existing literature in the field of geographically weighted regression. Additionally, it intended to determine and produce a mapping of scientific networks in the domain of geographically weighted regression. The proposed methodology implements a combination of bibliometric techniques and modelling of topics in order to extract the latent top-ics from the collected literature by utilising latent Dirichlet allocation and a ma-chine learning tool. The results identified the most prolific authors, the most cited authors, the most representative articles and journals, and the countries which are responsible for the publications
URI
ISSN
0004-0894
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For peer review