Analyzing and modeling real-world phenomena with complex networks: a survey of applications

The success of new scientific areas can be assessed by their potential in contributing to new theoretical approaches and in applications to real-world problems. Complex networks have fared extremely well in both of these aspects, with their sound theoretical basis being developed over the years and...

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Bibliographic Details
Published in:Advances in physics 2011-06, Vol.60 (3), p.329-412
Main Authors: Costa, Luciano da Fontoura, Oliveira, Osvaldo N., Travieso, Gonzalo, Rodrigues, Francisco Aparecido, Villas Boas, Paulino Ribeiro, Antiqueira, Lucas, Viana, Matheus Palhares, Correa Rocha, Luis Enrique
Format: Article
Language:English
Subjects:
02.10.Ox Combinatorics
89.75. He Networks and genealogical trees
89.75.Da Systems obeying scaling laws
89.75.Fb Structures and organization in complex systems
89.75.Kd Patterns
collective phenomena
Communication, education, history, and philosophy
complex networks
complex system
Complex systems
Computational methods in statistical physics and nonlinear dynamics
Computer Science
datalogi
Exact sciences and technology
Fysik
graph theory
Indication
NATURAL SCIENCES
NATURVETENSKAP
network analysis
network theory
Networks
Other physics
Philosophy of science
Physics
Representations
Sound
Statistical physics
Statistical physics, thermodynamics, and nonlinear dynamical systems
Statistisk fysik
teoretisk fysik
Theoretical Physics
Theory
Övrig fysik
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Summary:The success of new scientific areas can be assessed by their potential in contributing to new theoretical approaches and in applications to real-world problems. Complex networks have fared extremely well in both of these aspects, with their sound theoretical basis being developed over the years and with a variety of applications. In this survey, we analyze the applications of complex networks to real-world problems and data, with emphasis in representation, analysis and modeling. A diversity of phenomena are surveyed, which may be classified into no less than 11 areas, providing a clear indication of the impact of the field of complex networks.
ISSN:0001-8732
1460-6976
1460-6976
DOI:10.1080/00018732.2011.572452