Abstract
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.
Notes
KEGG: http://www.genome.jp/kegg.
EcoCyc: http://ecocyc.org/.
For an extensive list of social networking websites access http://en.wikipedia.org/wiki/List_of_social_networking_websites.
Data collected from http://www.intracen.org/menus/countries.htm. and http://www.tswoam.co.uk/world.
In graph theory a network is a directed graph (digraph) with nonnegative capacities associated with each edge and distinguished source and sink vertices Citation579. In this work, the terms graph and network will be used interchangeably.