FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
Scope & Guideline
Decoding Complexity: The Intersection of Fractals and Society
Introduction
Aims and Scopes
- Fractal Geometry and Its Applications:
The journal explores the mathematical foundations and applications of fractal geometry, including its implications in natural phenomena, social systems, and engineering. - Fractional Calculus and Differential Equations:
A significant portion of the research involves fractional calculus, particularly in the context of modeling complex systems described by fractional differential equations. - Complex Systems and Network Theory:
Research often centers on the dynamics of complex systems, including fractal networks and their behavior under various conditions, contributing to advancements in understanding real-world phenomena. - Computational Modeling and Simulations:
The journal publishes studies involving numerical methods and computational techniques to solve fractal and fractional-order models, facilitating the analysis of complex systems. - Interdisciplinary Approaches:
It emphasizes interdisciplinary research, integrating insights from mathematics, physics, biology, and engineering to address complex problems using fractal and fractional methodologies.
Trending and Emerging
- Applications in Epidemiology:
An increasing number of papers utilize fractal models to understand the dynamics of infectious diseases, especially in the context of COVID-19, indicating a growing intersection between fractals and public health. - Machine Learning and AI Integration:
There is a notable trend towards incorporating machine learning and artificial intelligence techniques in fractal analysis and modeling, enhancing the capabilities of traditional approaches. - Environmental and Geophysical Applications:
Research focusing on the application of fractal models to environmental science, including fluid dynamics in porous media and geological formations, has gained momentum. - Complex Networks and Systems:
The exploration of fractals within the framework of complex networks, particularly in social and biological systems, is becoming increasingly prevalent, reflecting the interdisciplinary nature of current research. - Advanced Numerical Methods:
Emerging interest in sophisticated numerical techniques for solving fractal and fractional differential equations is evident, showcasing advancements in computational methodologies.
Declining or Waning
- Traditional Applications of Fractals:
There is a noticeable decrease in studies directly applying fractal geometry to classical fields such as art and architecture, as the focus shifts towards more complex, dynamic systems. - Basic Fractal Analysis:
Research that merely focuses on the basic properties of fractals, without deep computational or theoretical advancements, has seen reduced publication frequency, suggesting a move towards more innovative applications. - Static Models:
The trend indicates a waning interest in static models of fractal systems, as researchers increasingly favor dynamic and time-dependent models that capture the complexities of real-world behaviors.
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