Discrete Dynamics in Nature and Society

Quantitative Methods for Socio-Economic System Research in the Big Data Era


Publishing date
01 Jan 2023
Status
Closed
Submission deadline
02 Sep 2022

Lead Editor

1Hebei University of Science and Technology, Shijiazhuang, China

2Northumbria University, Newcastle upon Tyne, UK

3Dalian Maritime University, Dalian, China

This issue is now closed for submissions.

Quantitative Methods for Socio-Economic System Research in the Big Data Era

This issue is now closed for submissions.

Description

The socio-economic system is a paradigm which can be defined as complex because behaviour change of free agents can result in other individuals and organisations experiencing chaotic dynamics, non-linear interactions and other cascading effects. To embrace sustainability in such a paradigm requires the adoption of emerging technologies that can lead to the next quantum leap including the big data platform. Big data provides us with a stream of new and digitized data exploring the interactions between individuals, companies and other organizations. However, to understand the underlying behavior of social and economic agents, organizations and researchers must manage large quantities of unstructured and heterogeneous data. To succeed in this undertaking requires careful planning and organization of the entire process of data analysis, taking into account the particularities of social and economic analyses such as the wide variety of heterogeneous sources of information and the existence of strict governance policy.

In recent years, many tools for both qualitative and quantitative models have been developed to describe and better understand complex systems. These tools include stochastic and dynamic systems, multivariate statistics, network models, social network analysis, inference and stochastic processes, fuzzy theory, relational calculus, partial order theory, multi-criteria decision methods and other tools which have been widely used to address problems in socio-economic systems. Traditional quantitative methods for acquiring socioeconomic data are limited in their ability to examine the complexities of socio-economic systems. Therefore, big data collected from satellites, mobile phones, and social media, among other data sources, allow researchers to build on and sometimes replace traditional methods providing greater frequency and timeliness, accuracy and objectiveness as well as defining sustainable models.

This Special Issue invites original research and review papers discussing complex socio-economic, financial and environmental problems, with a particular focus on the development and applications of new quantitative methods and models which combine new techniques in AI and big data analytics.

Potential topics include but are not limited to the following:

  • Geospatial modeling and machine learning
  • Intensive longitudinal data analysis with big data
  • Multilevel modeling techniques
  • AI based network analysis
  • Big data based causal inference
  • Visualization and scientometric analysis
  • Econometrics and demographic techniques
  • Machine learning and fuzzy theory
  • Complexity and simplicity
  • Reducing complexity to simplicity
  • Equilibrium or studying attractors
  • Non-linear dynamics
  • Self-organizing dynamics
  • Survival not optimality
  • Co-emergence of structure, beliefs and patterns of behavior

Articles

  • Special Issue
  • - Volume 2024
  • - Article ID 1055977
  • - Research Article

Intellectual Structure of Global Value Chain Research: Visualization and Bibliometric Analysis Based on VOSviewer

Jianhua Dai | Shuanglei Xu
  • Special Issue
  • - Volume 2023
  • - Article ID 9823083
  • - Retraction

Retracted: An Empirical Study on the Influencing Factors of the Returning Intention of Overseas Talents

Discrete Dynamics in Nature and Society
  • Special Issue
  • - Volume 2023
  • - Article ID 9812891
  • - Retraction

Retracted: An Empirical Study of Blended Teaching Mode Based on SPOC in the Postpandemic Era

Discrete Dynamics in Nature and Society
  • Special Issue
  • - Volume 2023
  • - Article ID 8696858
  • - Research Article

The Dynamic Effects of the Foreign Economic Shocks on the Korean Port Industry

Sung-A. Kim | Kapje Park | Chan-Ho Kim
  • Special Issue
  • - Volume 2023
  • - Article ID 6500191
  • - Research Article

Analysis of the Impact of County-Levelization on Economic Growth and Public Service Development Based on Panel Data

Wangteng Xu | Shaojian Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 6123348
  • - Research Article

Research on the Classification of Policy Instruments Based on BERT Model

Jiani Zhao | Cheng Li
  • Special Issue
  • - Volume 2022
  • - Article ID 9128819
  • - Research Article

The Evolution of Ecological and Environmental Governance Attention Allocation in J City Based on Big Data Analysis

Jing Gao | Yuhan Sun
  • Special Issue
  • - Volume 2022
  • - Article ID 7981885
  • - Research Article

Development of Comprehensive Evaluation Model of Free Trade Port Investment under Macroeconomic Support

Haitian Zhang | Wang Benxue
  • Special Issue
  • - Volume 2022
  • - Article ID 8245983
  • - Research Article

Redesigning and Implementing the Public Game Information and Rating System in South Korea

HoSeong Kang | JungYoon Kim
  • Special Issue
  • - Volume 2022
  • - Article ID 9501415
  • - Research Article

An Empirical Study on the Digital Display Design of Intangible Cultural Heritages Based on Audience Satisfaction

Lei Zhang | Di Fu | Jinlong Zhao
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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