Advanced search
Start date
Betweenand

Visually spotting patterns in planetary scale graphs

Grant number: 14/07879-0
Support Opportunities:Scholarships abroad - Research Internship - Master's degree
Start date: October 01, 2014
End date: March 31, 2015
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:José Fernando Rodrigues Júnior
Grantee:Hugo Armando Gualdron Colmenares
Supervisor: Duen Horng Chau
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Institution abroad: Georgia Institute of Technology, United States  
Associated to the scholarship:13/03906-0 - Visualization and processing of planetary-scale graphs using vertex-centric high performance techniques, BP.MS

Abstract

The so-called planetary-scale (or Web-scale) graphs comprise millions of vertices and billions of edges. Such graphs have appeared in several contemporaneous contexts containing information that can potentially explain social behavior (Twitter and Facebook), commercial activities (Amazon), system structures (like roads and computer networks), non-structured information (Wikipedia), information organization (hypertext), to name a few. These graphs are of great analytical value because, besides having a wide range of information, the current trend is that more of such datasets will appear in the following years. For this reason, it becomes necessary the development and the mastering of techniques capable of working with such volumes of information. In this work, we propose investigating very large graphs by means of visual and analytical techniques to understand the behavior of structural patterns according to specific domains, leading to decision making (evaluation, prediction, and identification of alternatives). (AU)

News published in Agência FAPESP Newsletter about the scholarship:
More itemsLess items
Articles published in other media outlets ( ):
More itemsLess items
VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)