Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications
Abstract
The success of new scientific areas can be assessed by their potential for 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 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, after an introduction to the main concepts and models. A diversity of phenomena are surveyed, which may be classified into no less than 22 areas, providing a clear indication of the impact of the field of complex networks.
Cite
@article{arxiv.0711.3199,
title = {Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications},
author = {Luciano da F. Costa and Osvaldo N. Oliveira and Gonzalo Travieso and Francisco A. Rodrigues and Paulino R. Villas Boas and Lucas Antiqueira and Matheus P. Viana and Luis E. C. da Rocha},
journal= {arXiv preprint arXiv:0711.3199},
year = {2012}
}
Comments
103 pages, 3 figures and 7 tables. A working manuscript, suggestions are welcomed