Grant number: |
12/25219-2
|
Support type: | Scholarships in Brazil - Doctorate |
Effective date (Start): |
May 01, 2013
|
Effective date (End): |
November 30, 2017
|
Field of knowledge: | Physical Sciences and Mathematics
-
Physics
-
General Physics |
|
Principal Investigator: | Francisco Aparecido Rodrigues |
Grantee: | Guilherme Ferraz de Arruda |
|
Home Institution: |
Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
|
|
Associated scholarship(s): | 15/07463-1 - Spreading processes on multilayer networks,
BE.EP.DR
|
|
Abstract
Complex systems are composed of discrete parts that interact in a nonlinear manner. The analysis of such systems is of fundamental importance in the study of the brain, society, the Internet, the World Wide Web and food chains. Recent work has led to the description of the structure of such systems in detail when observed properties that are general to all these systems, including modular design and high level of heterogeneity in the distribution of the number of connections. However, to understand such systems, it is necessary to study dynamic processes that can be evaluated in their topologies. Despite advances in the modeling of dynamic processes, there is still a large field of research to be explored, since existing models are very simplified and the influence of structure on such dynamics has not been fully understood. In this project, we aimed to analyze and model dynamic processes in complex networks, including the spread of epidemics and rumors and synchronization of coupled oscillators. Such studies will enable a greater understanding of the influence of the structure of a network in such processes and the development of more accurate models.
|
|
Scientific publications
(10)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
CIBA, MANUEL;
BESTEL, ROBERT;
NICK, CHRISTOPH;
DE ARRUDA, GUILHERME FERRAZ;
PERON, THOMAS;
HENRIQUE, COMIN CESAR;
COSTA, LUCIANO DA FONTOURA;
RODRIGUES, FRANCISCO APARECIDO;
THIELEMANN, CHRISTIANE.
Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activity.
NEURAL COMPUTATION,
v. 32,
n. 5,
p. 887-911,
MAY 2020.
Web of Science Citations: 0.
DE ARRUDA, GUILHERME FERRAZ;
COZZO, EMANUELE;
PEIXOTO, TIAGO P.;
RODRIGUES, FRANCISCO A.;
MORENO, YAMIR.
Disease Localization in Multilayer Networks.
PHYSICAL REVIEW X,
v. 7,
n. 1
FEB 2 2017.
Web of Science Citations: 34.