Statistical Physics Approaches for Modeling Human Social Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Statistical Physics".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 1731
Special Issue Editors
Interests: complex systems; network science; social physics; critical phenomena; disorder systems; soft matter; glasses; conformal field theory
Interests: network theory; dynamical systems; resilience; tipping points; networks of networks; artificial intelligence; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on "Statistical Physics Approaches for Modeling Human Social Systems" explores the intersection of statistical physics and human dynamics. In recent years, statistical physics has emerged as a powerful tool to understand complex social systems, which often exhibit nonlinear behaviors and emergent properties. From social networks and human mobility patterns to traffic flows, political dynamics, economic interactions, and innovation processes, these systems display intricate interactions that can be modeled using techniques rooted in statistical mechanics. In this context, entropy and information theory play a key role in capturing the complexity of these systems.
This Special Issue aims to provide a platform for researchers to present new methods and theoretical insights that apply the principles of statistical physics to social systems. Topics of interest include but are not limited to network dynamics, agent-based modeling, phase transitions in social behavior, diffusion of innovations, and data-driven approaches to understanding societal trends. We encourage contributions combining empirical data with theoretical models, offering novel approaches to studying human behavior from a statistical physics perspective.
This Special Issue will focus on both the methodological advancements and practical applications of these approaches, highlighting the broad relevance of statistical physics in addressing pressing questions in the social sciences, economics, and beyond. Submissions addressing real-world complexities, non-stationarity, and large-scale data analyses are welcome.
Dr. Chaoming Song
Dr. Jianxi Gao
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- complex systems
- statistical mechanics
- social systems
- social networks
- human dynamics
- agent-based modeling
- data-driven modeling
- human mobility patterns
- innovation diffusion
- socioeconomic systems
- dynamics on/of networks
- political polarization
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