Complexity
A section of Entropy (ISSN 1099-4300).
Section Information
Complex systems are widespread in many areas of science, and we encounter them every day in the most varied situations. Examples include financial markets, road transportation networks, telecommunications networks, global and national economies, social networks, immune systems, living organisms, computational systems, and electrical as well as mechanical structures.
Complex systems are generally composed of many interconnected and interacting entities, exhibiting much richer global-scale dynamics than could be obtained from the properties and behavior of individual entities. Complex systems are studied in many areas of the natural sciences, social sciences, engineering, physics, and mathematical sciences.
The Complexity Section provides a platform for researchers to share their discoveries about complex systems, namely studies with a deeper understanding of the underlying principles and their multiple practical applications. We welcome submissions that address innovative questions, as well as those on more specific topics, illustrating the broad impact of entropy-based techniques on complex systems.
We encourage the submission of original research related to complex systems, particularly in, but not limited to, the following areas:
Fundamental concepts: studies on the structures and dynamics of complex networks (network theory, network modeling, and their properties).Nonlinear dynamics and chaos: studies on nonlinear phenomena and chaotic behavior in complex systems.
Multi-agent systems: studies on multi-agent systems, including agent-based modeling, neural systems, and machine learning.
Adaptive systems: studies on adaptive systems, such as ecosystems and social as well as financial systems.
Biological complexity: studies on complex biological complex systems.
Financial and economic systems, with an emphasis on understanding their dynamics and stability.
Information theory: studies on information theory and entropy in complex systems.
Social sciences: studies on human society, including topics such as political systems, cultural dynamics, security, mobility, environmental systems, the spread of epidemics, and the diffusion of ideas. Download Section Flyer
Keywords
Theoretical Aspects:
- algorithmic information theory
- bifurcation
- big data
- complex adaptive system
- complex and disordered systems
- complex network
- complex patterns
- complex systems
- complexity
- complexity and chaos theory
- computational complexity theory
- cybernetics
- data analysis
- data series
- entropy
- fractals
- fractional calculus
- fractionality
- information processing
- information theory, information fluctuation complexity
- Kolmogorov complexity
- network theory
- nonlinear dynamics
- nonlinearity
- power law
- probability theory
- randomness
- scientific visualization
- spontaneous order and self-organization
- stable distribution
- stochastic multiscale modeling
Application Aspects:
- complexity and management
- complexity and economics
- complexity and biology
- complexity and chemistry
- complexity and education
- complexity and modeling
- complexity and genetics
- complexity and geophysics
- complexity and engineering
- complexity and ecology
- complexity and network science
- complexity in rare and extreme phenomena
- general form of complexity computation
- general applications of complexity
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Information Processing in Complex Biological Systems (Deadline: 31 August 2026)
- Causal Representation Learning with Its Applications (Deadline: 31 August 2026)
- Nonlinear Oscillator Synchronization and Multi-Agent Cooperative Control on Compact Manifolds and Complex Networks (Deadline: 31 August 2026)
- Complexity of AI (Deadline: 31 August 2026)
- Complexity Theories of Cities: Their Media and Their Messages (Deadline: 24 September 2026)
- Analysis of the Structural Characteristics of Complex Networks Based on Entropy Measurement (Deadline: 30 September 2026)
- Nonlinear Phenomena in Fluid Dynamics (Deadline: 30 September 2026)
- Analysis of Critical Behavior in Complex Systems (Deadline: 30 September 2026)
- Entropy-Based Time Series Analysis: Theory and Applications (Deadline: 15 October 2026)
- Complexity Features and Blockchain Foundations of the Digital Instruments Market (Deadline: 30 October 2026)
- Entropy: Exploring Complexity and Information in Science (Deadline: 31 October 2026)
- Higher-Order Interactions and Their Relevance to Real Networks (Deadline: 31 October 2026)
- Synchronization and Information Patterns in Human Dynamics (Deadline: 15 November 2026)
- Ordinal Pattern-Based Entropies: New Ideas and Challenges, Second Edition (Deadline: 30 November 2026)
- Complexity, Entropy and the Physics of Information, 3rd Edition (Deadline: 20 December 2026)
- Entropy-Based Complexity Analysis in Econophysics and Biophysics (Deadline: 30 December 2026)
- Neural Operators and Physics-Informed Neural Networks: Theory and Applications in Complex Systems (Deadline: 31 December 2026)
- Emergent Dynamics of Complex Systems: From Synchronization to Clustering (Deadline: 31 December 2026)
- Complexity in Urban Systems (Deadline: 31 December 2026)
- Complex Networks and Their Applications—in Memory of Prof. Erik Bollt (Deadline: 31 January 2027)
- Swarm Intelligence, Self-Organization, and Creative Computational Systems (Deadline: 28 February 2027)
- Symmetry and Its Applications in Complex Systems (Deadline: 28 February 2027)
- Opinion Dynamics: Applications and Fundamentals (Deadline: 25 March 2027)
- Opportunities and Challenges of Network Science in the Age of AI (Deadline: 31 March 2027)
- Nonlinear Dynamics, Stochastic Processes and Time Series Analysis (Deadline: 15 April 2027)
