Entropy-Based Complexity Analysis in Econophysics and Biophysics
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".
Deadline for manuscript submissions: 30 December 2026 | Viewed by 3
Special Issue Editor
2. Physics and Biophysics Department, Wrocław University of Environmental and Life Sciences, Wrocław, Poland
Interests: biophysics; econophysics; entropy; time-series analysis; cross-correlations; ion-channel time-series analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Entropy has become a cornerstone in the study of complex systems, offering a unified framework for quantifying uncertainty, disorder, and information flow. Beyond classical measures, generalized entropy frameworks have emerged as powerful tools for capturing the rich, non-equilibrium behaviors inherent in many real-world systems. This Special Issue invites contributions that explore entropy-based methodologies in the interdisciplinary fields, particularly econophysics and biophysics.
In econophysics, entropy has been applied to financial time series analysis, market volatility, systemic risk, and agent-based modeling. Recent works have utilized dispersion entropy and complexity–entropy curves to uncover hidden structures in economic data, while entropy-based network models have illuminated global trade and investment dynamics. Notably, non-extensive entropies, such as Tsallis entropy, have proven effective in characterizing the non-Gaussian statistics of financial returns, modeling systems with long memory, and assessing the risk of extreme events.
In biophysics, entropy aids in understanding physiological variability, neural complexity, and molecular dynamics. Studies have employed multiscale entropy to track brain development and aging, and conditional entropy to assess cardiorespiratory interactions. Generalized entropy measures are increasingly used to quantify the multifractal scaling of physiological signals, analyze the complexity of biological networks, and probe the non-extensive thermodynamics of biomolecular processes.
This Special Issue aims to foster cross-disciplinary dialogue and methodological innovation. We welcome theoretical, computational, and empirical studies that apply classical and generalized entropy to characterize, model, or predict complex behaviors in economic and biological systems.
Topics of interest include the following:
- Entropy measures (classical and generalized, e.g., Tsallis, Rényi) in time-series and network analysis
- Entropy production and non-equilibrium dynamics
- Multiscale, permutation, and multifractal entropy in physiological and economic signals
- Maximum entropy models and non-extensive statistical mechanics in economic forecasting and biological modeling
- Entropy-based diagnostics and decision-making tools
- Theoretical and empirical advances in generalized entropy frameworks for complex systems
Join us in advancing the frontier of entropy-driven complexity science.
Dr. Janusz Miśkiewicz
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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
- entropy
- complex systems
- econophysics
- biophysics
- information theory
- statistical mechanics
- non-equilibrium dynamics
- financial time series
- biological complexity
- ion channels
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