Introduction:
The so-called Complex Network Theory is the result of merging concepts and tools from two fields, one from Physics (Statistical Physics) and the other from Mathematics (Graph Theory). From one side, Statistical Physics is an attempt to explain the macroscopic behavior of matter from a large ensemble of atomic components and molecular interactions. On the other side, Graph Theory provides us with the perfect tool to model pairwise relations between the components of a given system. Nowadays, there are many evidences proving that Complex Network Theory can be used to explain phenomena from areas as different as Sociology, Biology, or Engineering. One of its open problems is to elucidate the interplay between the structural and functional properties in a complex system. In general, the evolution of a network topology is intimately related to the dynamical processes taking over the net, and vice versa, the emergent dynamics is highly influenced by the underlying structure. In this Special Session we pretend to survey on this problem with both the introduction and analysis of new topological concepts from a theoretical viewpoint, and several analytical, numerical and experimental reports on real-world networks. |