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A bibliometric study of research topics, collaboration, and centrality in the iterated prisoner's dilemma

Mathematics

A bibliometric study of research topics, collaboration, and centrality in the iterated prisoner's dilemma

N. E. Glynatsi and V. A. Knight

Dive into the intriguing world of the Prisoner's Dilemma with groundbreaking research by Nikoleta E. Glynatsi and Vincent A. Knight. This study uncovers key research topics, collaborative dynamics, and the continuous relevance of this game theory field through advanced analysis techniques. Discover how authors engage within their communities and the nature of their collaborations.... show more
Abstract
This manuscript explores the research topics and collaborative behaviour of authors in the field of the Prisoner's Dilemma using topic modelling and a graph theoretic analysis of the co-authorship network. The analysis identified five research topics in the Prisoner's Dilemma which have been relevant over the course of time. These are human subject research, biological studies, strategies, evolutionary dynamics on networks and modelling problems as a Prisoner's Dilemma game. Moreover, the results demonstrated the Prisoner's Dilemma is a field of continued interest, and that it is a collaborative field compared to other game theoretic fields. The co-authorship network suggests that authors are focused on their communities and that not many connections across the communities are made. The most central authors of the network are the authors connected to the main cluster. Through examining the networks of topics, it was uncovered that the main cluster is characterised by the collaboration of authors in a single topic. These findings add to the bibliometrics study in another field and present new questions and avenues of research to understand the reasons for the measured behaviours.
Publisher
Humanities and Social Sciences Communications
Published On
Feb 11, 2021
Authors
Nikoleta E. Glynatsi, Vincent A. Knight
Tags
Prisoner's Dilemma
co-authorship
game theory
topic modeling
collaboration
evolutionary dynamics
human subject research
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