Analysis of the Global Research Status of Graph Theory Based on Bibliometrics

Furui Chen, Yubin Hu

2022

Abstract

Graph theory, as a branch of operations research, has an ancient research history. In recent years, it has not only broken new ground in its applications but also optimized its existing models with the help of new tools such as neural networks and machine learning. Based on the Web of Sciences core database, this paper analyses the number of annual papers, core authors, disciplinary layout, countries, and keywords. Using the visual analysis software CiteSpace and VOSviewer, we can comprehensively reveal research trends, research capabilities, and research directions Hotspots in the field of graph theory from 2012 to 2021. The results show an overall upward trend in the development of graph theory research, with two countries, led by China and the United States, dominating most of the research worldwide and collaborating to some extent. The research direction of graph theory has also evolved from expanding applications to optimization models.

Paper Citation

in Harvard Style

Chen F. and Hu Y. (2022). Analysis of the Global Research Status of Graph Theory Based on Bibliometrics. In Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA; ISBN 978-989-758-658-3, SciTePress, pages 147-153. DOI: 10.5220/0012071300003624

in Bibtex Style

@conference{pmbda22,
author={Furui Chen and Yubin Hu},
title={Analysis of the Global Research Status of Graph Theory Based on Bibliometrics},
booktitle={Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA},
year={2022},
pages={147-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012071300003624},
isbn={978-989-758-658-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA
TI - Analysis of the Global Research Status of Graph Theory Based on Bibliometrics
SN - 978-989-758-658-3
AU - Chen F.
AU - Hu Y.
PY - 2022
SP - 147
EP - 153
DO - 10.5220/0012071300003624
PB - SciTePress