Propagation of epidemics and rumors in adaptative networks

• Grant number: 15/26918-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: March 01, 2016
• End date: December 31, 2016
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics
• Principal Investigator: Francisco Aparecido Rodrigues
• Grantee: Bruno Daniel Sanches da Silva
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

Propagation models of epidemics and rumors are essential for predicting and controlling the transmission of infectious agents and social behavior. Most models developed in complex networks only considers static structures where connections are maintained over time. Only recently, epidemic propagation models in adaptive networks have been proposed. In these networks, the connections are not static, varying during the spread of the infectious agent. In this study, we will aim to study such models and propose new network adaptation rules. Rumors models will also be considered. The results will allow a better understanding of the spread of information in complex networks with time-varying structure.