Aims and scope

Complexity Analysis and Applications (CAA) is a prestigious international peer-reviewed journal committed to advancing interdisciplinary research in complexity theory and its applications. The journal aims to publish groundbreaking scientific papers that significantly enhance the understanding, development, and practical application of complexity analysis in various disciplines.

Scope:

The scope of Complexity Analysis and Applications is broad, covering both traditional and emerging fields, including but not limited to:

• Foundational Theories: Expanding the theoretical understanding of complexity, chaos theory, and nonlinear dynamics that form the basis for the scientific study of complex systems.
• Computational Methods:Investigating computational techniques like agent-based modeling, cellular automata, and network analysis that are pivotal in analyzing complex systems.
• Natural Sciences: Focusing on the application of complexity theory in natural sciences like physics, systems biology, and ecology to understand intricate systems and phenomena.
• Engineering and Technology: Exploring the role of complexity in engineering disciplines, including but not limited to systems engineering, information technology, and automation.
• Social and Economic Sciences: Delving into complexity in economic systems, managerial decision-making, and social networks, among other socio-economic aspects.
• Humanities and Other Disciplines: Applying complexity theory to diverse fields like psychology, linguistics, history, and archaeology to gain new insights into human behavior and societal structures.
• Multidisciplinary Approaches: Highlighting the importance of interdisciplinary collaboration in tackling complex problems related to sustainability, ethics, education, and health.
• Special Topics: Featuring emerging trends and innovative research that pushes the boundaries of complexity theory, including adaptability, resilience, and emergent phenomena.
• Methodologies and Tools: Discussing various methodologies, statistical models, and software tools that aid in the study and application of complexity analysis.

Complexity Analysis and Applications serves as a nexus for high-impact research that transcends disciplinary boundaries, fostering cross-disciplinary collaborations and driving forward the field of complexity analysis. By advancing complex systems theory, computational methodologies, and multi-disciplinary applications, the journal aims to contribute to the advancement of knowledge and practical application of complexity analysis in a wide array of fields.