Discrete Dynamics in Nature and Society

Modeling the Complexity and Dynamics of Socioeconomic Systems


Publishing date
01 Apr 2022
Status
Published
Submission deadline
26 Nov 2021

Lead Editor

1Beijing Jiaotong University China, Beijing, China

2University of Maribor, Maribor, Slovenia

3Lakehead University, Thunder Bay, Canada


Modeling the Complexity and Dynamics of Socioeconomic Systems

Description

Socio-economic systems are large systems with people at the core, including social, economic, educational, scientific, technological, and ecological environment fields, involving various aspects of human activities and the many complex factors of the living environment. The fundamental difference between socio-economic systems and physical systems is that there is a decision-making link in socio-economic systems, and the subjective consciousness of humans has a great influence on the system. Socio-economic systems are an important and typical complex system (also referred to as complex adaptive systems, CAS). In contrast to other systems (i.e., inanimate systems, biological and ecological systems), socio-economic systems have a number of special circumstances and properties that make them more difficult to recognize, describe, and control. Due to their complexity and dynamic nature, there is no "one-size-fits-all" solution to socio-economic system problems. In particular, many of these systems involve dynamic changes in people and society, and the problems themselves are constantly changing and evolving, inevitably requiring a deepening process of understanding, which also leads to the absence of precise and complete overall analytical models for such systems. Therefore, the exploration of the theories, methods, and techniques for effective modeling of the complexity and dynamics of socioeconomic systems represents a very promising area of research.

The complexity of socio-economic systems is a hot topic in current academic research. However, a unified definition has not yet been developed due to the lack of a rigorous formal theory. For a long period of time, research on the complexity and dynamics of socioeconomic systems has focused on the investigation of the characteristics of the distribution of various types of universal scales and their causes. We believe that the study of the complexity and dynamics of socio-economic systems needs to start from the process of development of processing techniques of system theory and face the complex phenomena of socio-economic systems directly. In addition, there is no optimal solution to the socio-economic system problem in the general sense, let alone a unique optimal solution.

The main purpose of this Special Issue is to provide an opportunity for academics and practitioners to explore modeling methods and techniques for examining the complexity and dynamics of socio-economic systems under current technological conditions and find effective solutions with dynamic adaptability. Topics related to logistics systems, finance systems, and production systems would be highly appreciated. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Control and optimization modeling
  • Adaptation synergy and feedback regulation
  • Simulation of the evolution process
  • Multi-agent methods
  • Complex adaptive systems, multi-body systems, and evolutionary computing
  • Modeling self-organization behaviors
  • Cooperation and gaming problems
  • Pattern recognition, data mining techniques, and visualization technologies

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 5976833
  • - Research Article

Income Differences between Flexibly and Nonflexibly Employed Persons and Their Deconstruction: An Analysis Based on Data from the 2018 China Mobility Monitor

Xiongying Chen | Yu Xie | ... | Xinyu Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 8273415
  • - Research Article

Evaluation of Health Resource Allocation Efficiency Based on Data Envelopment Analysis 2014–2018 in Two Dimensions of Time-Region

Lina Liu | Wei Xu | ... | Xv Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 4025499
  • - Research Article

The Impact of Venture Capital Background on CEO Replacement in Portfolio Companies: Empirical Evidence from China

Haixia Hao | Lihong Guo
  • Special Issue
  • - Volume 2021
  • - Article ID 7825120
  • - Research Article

The Impact of Fintech on Corporate Technology Innovation Based on Driving Effects, Mechanism Identification, and Heterogeneity Analysis

Jianwei Li | Na Li | Xiang Cheng
  • Special Issue
  • - Volume 2021
  • - Article ID 1877475
  • - Research Article

A Tripartite Game-Theory-Based Cooperation Mechanism for the Electronic Warehouse Receipt Pledge Financing Mode

Junwei Jia | Haoyue Zhang | Qi Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 2205041
  • - Research Article

Generation Mechanism of Corporate Online Public Opinion Hotness Based on Multicase Qualitative Comparative Analysis

Manxi Wang | Jie Sun
  • Special Issue
  • - Volume 2021
  • - Article ID 1033499
  • - Research Article

Analysis on Relationship between Accurate Poverty Alleviation and Stock Price Collapse Risk from the Perspective of Information Disclosure

Chuan Lin | Haomiao Zhai
  • Special Issue
  • - Volume 2021
  • - Article ID 1433600
  • - Research Article

Supply and Demand Matching of Financial Support Policies for Private Enterprises Based on Text Measurement

Wei Liu | Jun Gu | ... | Yi Yang
  • Special Issue
  • - Volume 2021
  • - Article ID 8445028
  • - Research Article

Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment

Xiaolong Jiao | Wen Xu | Lintong Duan
  • Special Issue
  • - Volume 2021
  • - Article ID 4682524
  • - Research Article

Evaluation and Influence of Chinese Enterprises' Financial Efficiency Based on the Malmquist Index

Shaodong Yu | Chunling Li
Discrete Dynamics in Nature and Society
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Acceptance rate13%
Submission to final decision127 days
Acceptance to publication23 days
CiteScore2.000
Journal Citation Indicator0.410
Impact Factor1.4
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