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Stochastic models for information diffusion on graphs

Grant number: 14/23810-0
Support type: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
Principal Investigator:Pablo Martin Rodriguez
Grantee:Karina Bindandi Emboaba de Oliveira
Home 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 São Carlos.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.