Efeito da amostragem nas propriedades topológicas de redes complexas (original) (raw)
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SBC Brazilian Symposium on Databases (SBBD), 2018
Complex networks contribute to computational research by their ability to design systems modeled with vertices and edges. They provide means to describe urban structures through their street mesh, expressing predicates that refer to the flow and transportation in an urban zone. Towards the analysis of information from street networks, and by means of metrics from its elements, this paper aims at describing interactions between different cities using feature vectors. Our analysis is based on the use of digital maps; through them, we provide means for data modeling and feature extraction to support analytical activities. Our results are based on the analysis of 645 cities, which shape the Brazilian state of Sao Paulo. We show how the joint of features from complexnetwork metrics can describe urban indicators that are rooted in the network topology and how they can reveal differences among cities.
2014
O artigo Statistical mechanics of complex networks -Reka Albert* and Albert-Laszlo Barabasi Department of Physics, University of Notre Dame, Notre Dame, Indiana 46556 (Publicado em 30 January 2002) foi sintetizado e resumido , focando-se mais nos conceitos e menos nas leis e formulações matemáticas apresentadas. Redes complexas podem ser usadas para descrever uma ampla gama de sistemas observáveis na natureza e na sociedade. Exemplos frequentemente citados incluem: célula vivas, rede de elementos químicos vinculados por meio de reações químicas , e a Internet: rede de routers e computadores ligados por meios de transmissão de dados físicas.