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A section of Entropy (ISSN 1099-4300).

Section Information

Complex systems are pervasive in many areas of science and we find them every day and everywhere. Examples include financial markets, highway transportation networks, telecommunication networks, world and country economies, social networks, immunological systems, living organisms, computational systems and electrical and mechanical structures. Complex systems are often composed of a large number of interconnected and interacting entities, exhibiting much richer global scale dynamics than could be obtained from the properties and behaviour of the individual entities. Complex systems are studied in many areas of natural sciences, social sciences, engineering, physics and mathematical sciences.

The section on Complexity focuses on original and new research results in systems dynamics. Manuscripts on complex systems, nonlinearity, chaos and fractional dynamics from the thermodynamics or information processing perspectives are solicited. We welcome submissions addressing novel issues, as well as those on more specific topics, illustrating the broad impact of entropy-based techniques in complexity, nonlinearity and fractionality. Download Section Flyer 


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

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