Bibliometric Analysis by Network Models

£119.50

Bibliometric Analysis by Network Models

Identifying Trends in Scientific Literature

Probability and statistics Neurosciences

Authors: Fuad Aleskerov, Olga Khutorskaya, Anna Stepochkina, Vyacheslav Yakuba, Ksenia Zinovyeva

Dinosaur mascot

Collection: Contemporary Systems Thinking

Language: English

Published by: Springer

Published on: 1st January 2026

Format: LCP-protected ePub

ISBN: 9783032091710


Book Content Overview

The book contains new models of bibliometric analysis based on centrality measures in network analysis, pattern analysis and stability analysis. A distinctive feature of these centrality measures is that they account for the parameters of vertices and group influence of vertices to a vertex. This reveals specific groups of publications, authors, terms, journals and affiliations of the authors depending on different parameters of publications.

Pattern analysis and stability analysis allow the tendencies in developing of the field of research over years to be revealed. These new models are illustrated by an analysis of 39,811 articles on various aspects of Parkinson’s disease, published between 2015 and 2021.

This methodology can be useful for researchers of any scientific domain, because it enables them to identify key and actively developing trends as well as major players in the field. Moreover, this approach allows to determine main tendencies in the entire research community as well as in the specific parts of it that may have gone unnoticed before.

The obtained results of the analysis are useful not only for researchers but also for journals, editorial teams, scientific organizations, and investors.

Show moreShow less