SILVA, B. D. S. Epidemic spreading in adaptive networks. 2019. 57 p. Dissertação (Mestrado em Ciências – Ciências de Computação e Matemática Computacional) – Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos – SP, 2019. Propagation models of epidemics and rumors are fundamental to forecast and control the transmission of infectious agents and social behavior. Most models developed in complex networks consider only static structures where connections are maintained over time. Only recently, epidemic models in adaptative networks have been proposed. In these networks, the connections are not static, varying during the spread of the infectious agent. In this study, we aimed to analize the dynamics that emerges from the interplay between the individual behavior of agents and the spreading of an epidemic or rumor. The results allow a better understanding of the spread of information in complex networks with time-varying structure.
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2019
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2019-08-14
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