Análises estatísticas em redes complexas homofílicas
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...
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| Formato: | doctoralThesis |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/19763 |
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| Resumo: | 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. |
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