Detalhes bibliográficos
Ano de defesa: |
2012 |
Autor(a) principal: |
Brito, Samuraí Gomes de Aguiar |
Orientador(a): |
Silva, Luciano Rodrigues da |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal do Rio Grande do Norte
|
Programa de Pós-Graduação: |
Programa de Pós-Graduação em Física
|
Departamento: |
Física da Matéria Condensada; Astrofísica e Cosmologia; Física da Ionosfera
|
País: |
BR
|
Palavras-chave em Português: |
|
Área do conhecimento CNPq: |
|
Link de acesso: |
https://repositorio.ufrn.br/jspui/handle/123456789/18602
|
Resumo: |
Currently the interest in large-scale systems with a high degree of complexity has been much discussed in the scientific community in various areas of knowledge. As an example, the Internet, protein interaction, collaboration of film actors, among others. To better understand the behavior of interconnected systems, several models in the area of complex networks have been proposed. Barabási and Albert proposed a model in which the connection between the constituents of the system could dynamically and which favors older sites, reproducing a characteristic behavior in some real systems: connectivity distribution of scale invariant. However, this model neglects two factors, among others, observed in real systems: homophily and metrics. Given the importance of these two terms in the global behavior of networks, we propose in this dissertation study a dynamic model of preferential binding to three essential factors that are responsible for competition for links: (i) connectivity (the more connected sites are privileged in the choice of links) (ii) homophily (similar connections between sites are more attractive), (iii) metric (the link is favored by the proximity of the sites). Within this proposal, we analyze the behavior of the distribution of connectivity and dynamic evolution of the network are affected by the metric by A parameter that controls the importance of distance in the preferential binding) and homophily by (characteristic intrinsic site). We realized that the increased importance as the distance in the preferred connection, the connections between sites and become local connectivity distribution is characterized by a typical range. In parallel, we adjust the curves of connectivity distribution, for different values of A, the equation P(k) = P0ek=q q from the statistical non-extensive Tsallis |