Análises estatísticas em redes complexas homofílicas

Abstract

We propose a simple complex network growth process, where the preferential binding contains two essential parameters: homophily, a trend that local sites have to connect with other like, as well as the number of connected neighbors. Thus we obtained a network covering the model of Barabási-Albert (BA) and the scale-free model homophilic where the control parameter sets the degree of importance of homophily in the process of preferential binding. The results support a detailed discussion of the different types of correlations, especially the correlation of quality, which was introduced in this thesis, and comparisons between the BA model, homophilic model of free range, and our current model, considering its topological properties: degree distribution, connectivity time dependence and the coefficient of aggregation.