Research Trend, Logical Structure and Outlook on Complex Economic Game

Diseases, natural disasters, and other emergencies force the economy and management system to confront nonlinear and random changes. In recent years, complexity science has attracted much attention. Complex economics believes that economic models are dynamic, stochastic, and unpredictable, and that...

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Bibliographic Details
Published inMathematics (Basel) Vol. 11; no. 5; p. 1179
Main Authors Wu, Fang, Ma, Junhai
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2023
Subjects
Bibliometrics
bifurcation
big data
chaos
Cluster analysis
Complex systems
complexity
Complexity theory
Data analysis
Disaster management
Dynamic stability
Economic analysis
Economic aspects
Economic models
Economics
Equilibrium
Evolution
Food science
Game theory
Keywords
Knowledge representation
Logic
Mathematical research
Natural disasters
period
Risk management
Simulation
Software
stability
Time series
China
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Summary:Diseases, natural disasters, and other emergencies force the economy and management system to confront nonlinear and random changes. In recent years, complexity science has attracted much attention. Complex economics believes that economic models are dynamic, stochastic, and unpredictable, and that equilibrium and stability are temporary. It is changing traditional economic theory. Based on complexity theory, bibliometric theory, nonlinear theory, and game theory, combined with knowledge graph methods, the article analyzed 200 papers from the Web of Science, covering the period 1998–2022. This research presents the research structure and theoretical evolution of complex economic games through visualization techniques. The clusters of keywords and the logical relationships between them are discussed. Then, the analysis of hot keywords and co-occurrence keywords is carried out. Finally, future research directions for complex economic games are given: (1) the market complexity that comes with intelligent expectations, (2) complex characteristics of the data trading market, and (3) complex risk control for emergencies. The innovation lies in the use of data analysis software combined with manual knowledge to overcome the shortcomings of inflexible software analysis, as well as weak manual storage and computation. This research builds a theoretical foundation for grasping the research direction and selecting advanced topics.
ISSN:2227-7390
2227-7390
DOI:10.3390/math11051179