Progress of graph model for conflict resolution in conflict analysis: A systematic review and bibliometrics research

Author:

Zhou Xinyu1,Ma Xiaoqi23

Affiliation:

1. School of Economics and Management, Harbin Engineering University, Harbin, Heilongjiang, China

2. School of Information Management, Heilongjiang University, Harbin, Heilongjiang, China

3. Research Center of Information Resources Management, Heilongjiang University, Harbin, Heilongjiang, China

Abstract

Conflict is an inevitable social phenomenon and the analysis of it can effectively resolve disputes, improve the position of decision makers (DMs), forecast compromise solutions as well. At present, the Graph Model for Conflict Resolution (GMCR), a completely non-quantitative decision support system (DSS) based on DM’s ordinal preference information, is constructed to combat conflict analysis complicated by multiple participant or multiple criteria or both. The purpose of the study is to introduce an overview of GMCR in conflict analyzing through bibliometrics. In order to achieve this goal, a systematic review of articles in leading journals of Web of Science Core Collection (WoSCC) during 1987–2019 is posed, referring to the distribution of countries, institutions, authors, subjects and journals, research topics and hotspots exploration as well as frontiers prediction, by utilizing VOSviewer and CiteSpace. The contributions of this study are not only providing a handy method to grasp generalized scientific research situation, but also demonstrating status quo and emerging trends of GMCR for researchers and everyone who interested in.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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