Complexity

Complexity, Nonlinear Evolution, Computational Experiments, Agent-Based Modeling and Big Data Modeling for Complex Social Systems


Publishing date
01 Mar 2021
Status
Closed
Submission deadline
16 Oct 2020

Lead Editor

1Nanjing Tech University, Nanjing, China

2Lanzhou Jiaotong University, Lanzhou, China

3Nanjing Normal University, Nanjing, China

4Southeast University, Nanjing, China

This issue is now closed for submissions.
More articles will be published in the near future.

Complexity, Nonlinear Evolution, Computational Experiments, Agent-Based Modeling and Big Data Modeling for Complex Social Systems

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Economic and social systems are typical complex giant systems, which are affected by various factors such as behavioral factors, environmental factors, geographical factors, technical factors, etc. Meanwhile, economic and social systems present various nonlinear phenomena such as behavior emergence, nonlinear evolution, and delayed effect, which has become a hot research topic at present.

Economic and social systems are constantly filled with complexity, and the evolution of their structures or characteristics needs to be described and characterized by high-dimensional nonlinear system dynamics, but the research is not so thorough at present. In addition, economic and social systems are actually high-dimensional complex systems, and often present the common nonlinear phenomena in the complex system theory, such as bifurcation, chaos, delay and multistability, which are of vital significance for understanding and controlling complex social systems.

The purpose of this Special Issue is to reveal the laws existing in the complex economy and society systems and to guide the practice based on these laws. In terms of content, this issue focuses on the interaction between people or organizations or between people and organizations in economy and society, and the complexity emergence and nonlinear evolution it may bring, as well as the decision-making mechanism and risk mechanism of people in various complex situations and their impact on the operation of economic and social systems. From the perspective of methods, as far as we know, system dynamics is often used to describe the evolution of society as a system, and big data modeling is used to conduct realistic modeling based on the collected actual data, and computational experiments are used to test the model in the absence of actual data. In addition, the emerging agent-based model, artificial intelligence, block chain and other information technologies have been widely applied in economic and social systems, and their characterization of internal mechanisms is also worthy of attention.

Potential topics include but are not limited to the following:

  • Complex network theory in economic and social systems
  • Critical behavior in complex economic and social networks
  • System dynamics in complex economic and social systems
  • Agent-based model in complex economic and social systems
  • Big data modeling in complex economic and social systems
  • Various emergent behaviors in complex economic and social systems and their complexity modeling

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 4382836
  • - Research Article

The Combination of Pairwise and Group Interactions Promotes Consensus in Opinion Dynamics

Xiaoxuan Liu | Changwei Huang | ... | Junzhong Yang
  • Special Issue
  • - Volume 2021
  • - Article ID 8865872
  • - Review Article

Self-Confirming Biased Beliefs in Organizational “Learning by Doing”

Sanghyun Park | Phanish Puranam
  • Special Issue
  • - Volume 2021
  • - Article ID 6612785
  • - Research Article

Identification of Self-Organized Critical State on Twitter Based on the Retweets’ Time Series Analysis

Andrey Dmitriev | Victor Dmitriev
  • Special Issue
  • - Volume 2021
  • - Article ID 2606191
  • - Research Article

Analysis and Simulation of Intervention Strategies against Bus Bunching by means of an Empirical Agent-Based Model

Wei Liang Quek | Ning Ning Chung | ... | Lock Yue Chew
  • Special Issue
  • - Volume 2021
  • - Article ID 8883416
  • - Research Article

Booms and Busts in the Oil Market: Identifying Speculative Bubbles Using a Continuous-Time Dynamic System

Kaizhi Yu | Yun Zhang
  • Special Issue
  • - Volume 2020
  • - Article ID 1385049
  • - Research Article

Nature-Inspired Metaheuristics for Two-Agent Scheduling with Due Date and Release Time

Hongwei Li | Yuvraj Gajpal | ... | Amit Kumar Bhardwaj
  • Special Issue
  • - Volume 2020
  • - Article ID 6679502
  • - Research Article

Entrepreneurs’ Social Network and Corporate Risk Contagion: A Dynamic Evaluation and Simulation Approach

Yang Yang | Qian Qian | Zheng Li
  • Special Issue
  • - Volume 2020
  • - Article ID 6645506
  • - Research Article

Chaotic Behaviors in a Nonlinear Game of Two-Level Green Supply Chain with Government Subsidies

Chang-Feng Zhu | Qing-Rong Wang
  • Special Issue
  • - Volume 2020
  • - Article ID 8825284
  • - Research Article

An Evolutionary Game Theoretical Analysis to Conflicts among Stakeholders Involved in the Operation of Municipal Waste Incineration

Yang Yu | Rui Zhao | ... | Linchuan Yang
  • Special Issue
  • - Volume 2020
  • - Article ID 8827840
  • - Research Article

Significance of the Nested Structure in Multiplex World Trade Networks

Zhuo-Ming Ren | Xiao Pan | Yi-Cheng Zhang
Complexity
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Acceptance rate43%
Submission to final decision63 days
Acceptance to publication35 days
CiteScore3.300
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Impact Factor2.833
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Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.