Modeling connectivity in terms of network activity

A new complex network model is proposed which is founded on growth, with new connections being established proportionally to the current dynamical activity of each node, which can be understood as a generalization of the Barabasi-Albert static model. By using several topological measurements, as well as optimal multivariate methods (canonical analysis and maximum likelihood decision), we show that this new model provides, among several other theoretical kinds of networks including Watts-Strogatz small-world networks, the greatest compatibility with three real-world cortical networks.

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

FAPESP[05/00587-5]

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

FAPESP[07/50633-9]

FAPESP[06/61743-7]

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

CNPq[301303/06-1]

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)