Hindawi

Complexity

(ISSN 1099-0526)

Aims and scope

The purpose of Complexity is to report important advances in the scientific study of complex systems. Complex systems are characterized by interactions between their components that produce new information — present in neither the initial nor boundary conditions — which limit their predictability. Given the amount of information processing required to study complexity, the use of computers has been central to complex systems research.

This Open Access journal publishes high-quality original research, as well as rigorous review articles, across a broad range of disciplines. Studies can have a theoretical, methodological, or practical focus. However, submissions must always provide a significant contribution to complex systems.

Concepts relevant to Complexity include:

Adaptability, robustness, and resilience

Complex networks

Criticality

Evolution and emergent behaviour

Nonlinear dynamics

Pattern formation

Self-organization

Methods used within the scientific study of complex systems frequently include:

Agent-based modelling

Analytical methods

Cellular automata

Computational methods

Data science

Game theory

Machine learning

Statistical mechanics

Applications of complex systems may be related to the following disciplines, among others:

Computational social science

Digital epidemiology

Ecology

Economics

Engineering

Socio-technical systems

Statistical linguistics

Systems biology

Urban systems

Work that considers the above methods or applications, but which is not applied to the study of complex systems will be considered out of scope. For the avoidance of doubt, ‘complex’ in the context of this journal should not be considered merely as a synonym for difficult or complicated.