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Models of social dynamics in complex networks

Grant number: 11/19647-9
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): December 01, 2011
Effective date (End): July 31, 2013
Field of knowledge:Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics
Principal researcher:Francisco Aparecido Rodrigues
Grantee:Bianca Madoka Shimizu Oe
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

The main goal for this project is to study the influence of the network's topology in classical models, such as the election model and the spreading of diseases, based on theoretical models as the Sznajd model for the first, and the susceptible infectious (SI) and the susceptible infectious recovered (SIR) models for the last. The study will be done by simulating the models in networks with different topologies such as lattices, Barabasi-Albert network and Erdos-Renyi network. (AU)

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