A Simple Overview of Complex Systems and Complexity Measures

Defining a complex system and evaluating its complexity typically requires an interdisciplinary approach, integrating information theory, signal processing techniques, principles of dynamical systems, algorithm length analysis, and network science. This overview presents the main characteristics of complex systems and outlines several metrics commonly used to quantify their complexity. Simple examples are provided to illustrate the key concepts. Speculative ideas regarding these topics are also discussed here.

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Publication Details

Journal
Complexities
Published
2025-06-11
DOI
https://doi.org/10.3390/complexities1010002
Citations
1
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
3.13

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article

A Simple Overview of Complex Systems and Complexity Measures

L.H.A. Monteiro
1 citations
Complexities
Complex Systems and Time Series Analysis
3.13
article

A Simple Overview of Complex Systems and Complexity Measures

L.H.A. Monteiro
article en
1 citations

Abstract

Defining a complex system and evaluating its complexity typically requires an interdisciplinary approach, integrating information theory, signal processing techniques, principles of dynamical systems, algorithm length analysis, and network science. This overview presents the main characteristics of complex systems and outlines several metrics commonly used to quantify their complexity. Simple examples are provided to illustrate the key concepts. Speculative ideas regarding these topics are also discussed here.

ComplexitiesVol. 1(1)
Universidade de São Paulo (BR), Universidade Presbiteriana Mackenzie (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 8%
Complex Systems and Time Series Analysis
3.13
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