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Modeling interacting social dynamics in complex networks

Grant number: 19/22277-0
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): January 01, 2021
Status:Discontinued
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Francisco Aparecido Rodrigues
Grantee:Aruane Mello Pineda
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
Associated scholarship(s):21/13843-2 - Machine learning of social dynamics in complex networks, BE.EP.DR

Abstract

In this project, we are interested in improving information propagation models in complex networks. In particular, we are interested in modeling rumored competition, where agents try to contain the spread of information. We aim to determine which vertices are the most suitable to slow down the spread of a rumor that may, for example, be associated with misinformation. In addition, we will develop a model in which information can generate contrary opinions. In this case, the individual receiving the information may change his mind with a certain probability. Such models will be simulated in complex networks and the mathematical analysis will be done via medium field approximation. Real network data, such as Twitter, will be collected to validate some of the results obtained, where information propagation between individuals will be monitored. Multilayer networks as well as mobile agent networks should be considered.

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