Stochastic models for information diffusion on graphs

• Grant number: 14/23810-0
• Support Opportunities: Scholarships in Brazil - Doctorate
• Effective date (Start): May 01, 2016
• Effective date (End): August 31, 2016
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics
• Principal Investigator: Pablo Martin Rodriguez
• Grantee: Karina Bindandi Emboaba de Oliveira
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID

Abstract

The aim of the project is to study stochastic models of information difusion on graphs. We will consider models of interacting particle systems, recently introduced in the literature, on the d dimensional hypercubic lattice. We will study modifications of these models on homogeneous trees, on small world networks, and on other graphs. We expect to obtain phase transition results, limit theorems, and others, which will allow us to understand the asymptotic behavior of such models.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

OLIVEIRA, Karina Bindandi Emboaba de. Innovation diffusion graph models. 2019. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.