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Data mining in complex networks: structure and dynamics

Grant number: 12/01521-1
Support type:Scholarships in Brazil - Master
Effective date (Start): June 01, 2012
Effective date (End): April 30, 2013
Field of knowledge:Physical Sciences and Mathematics - Computer Science
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

Abstract

In this project, we present how data mining techniques can be used to study the relationship between network topologies and complex dynamic processes. This study will be conducted with the simulation of phenomena of synchronization, cascading failures and the spread of epidemics. The structure of the networks will be characterized by methods of data mining, which will classify networks according to a set of models and determine patterns of connections present in the organization of different types of complex systems. These studies will be performed with applications in neuroscience, systems biology, sociology and food webs.

Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
ARRUDA, Guilherme Ferraz de. Mineração de dados em redes complexas: estrutura e dinâmica. 2013. Master's Dissertation - 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.
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