Modeling Connectivity in Terms of Network Activity
Physics and Society
2015-05-13 v1 Computational Physics
Abstract
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 types of networks including Watts-Strogatz small-world networks, the greatest compatibility with three real-world cortical networks.
Cite
@article{arxiv.0905.4706,
title = {Modeling Connectivity in Terms of Network Activity},
author = {Lucas Antiqueira and Francisco Aparecido Rodrigues and Luciano da Fontoura Costa},
journal= {arXiv preprint arXiv:0905.4706},
year = {2015}
}
Comments
A working manuscript, 5 pages, 3 figures, 1 table