| Grant number: | 16/02557-0 |
| Support Opportunities: | Regular Research Grants |
| Start date: | August 01, 2016 |
| End date: | July 31, 2018 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Principal Investigator: | José Fernando Rodrigues Júnior |
| Grantee: | José Fernando Rodrigues Júnior |
| Host Institution: | Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil |
Abstract
The computational technology of the XXI, characterized by the Web 2.0, century has provided powerful resources to generate digital content, massive access to information, and connectivity between systems, people and electronic devices. This technology produces data in unprecedented scale and it has received different denominations: big data, web scale, massive data or planetary scale. A relevant set of the data produced in planetary scale describes relations that can be represented using graphs. Graph representation is useful to analyze and optimize problems in domains such as public politics, commercial decisions, security and social networks. Although the distributed systems are widely used for processing graphs in large scale, they add complexity and extra cost. Hence, this project aims to develop and study block-based techniques for processing large scale graphs on a single machine. The research will focus on preprocessing, algorithm design and visualization. The expected contribution for this project is the development of optimized approaches for solving problems related to graph analysis. (AU)
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