Complex Networks

Abstract

A complex network is a structure made up of nodes connected by one or more specific types of interdependency. Nodes represent individuals, groups, or organizations, while connections (links, edges or ties) represent relations such as friendship, economic deals, internet connections, neuron connections, protein interactions, etc. The resulting graph-based structures are often very complex, being social networks the most popular application, but the analysis of these structures has carried out a great number of research papers in fields like: Economics, Telecommunications, Biology, Artificial Intelligence, Bioinformatics, Anthropology, Information Science, Social Psychology, Sociolinguistics, among others. Network Theory has emerged as a key technique to be applied in order to model, analyze, simulate and understand those complex network topologies; from a static and a dynamic point of view.