L
Luciano da Fontoura Costa
Researcher at University of São Paulo
Publications - 523
Citations - 15985
Luciano da Fontoura Costa is an academic researcher from University of São Paulo. The author has contributed to research in topics: Complex network & Betweenness centrality. The author has an hindex of 51, co-authored 501 publications receiving 14164 citations. Previous affiliations of Luciano da Fontoura Costa include Spanish National Research Council & University of London.
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Journal ArticleDOI
Characterization of complex networks: A survey of measurements
TL;DR: This article presents a survey of measurements capable of expressing the most relevant topological features of complex networks and includes general considerations about complex network characterization, a brief review of the principal models, and the presentation of the main existing measurements.
BookDOI
Shape Analysis and Classification: Theory and Practice
TL;DR: Both beginning and advanced researchers can directly use its state-of-the-art concepts and techniques to solve their own problems involving the characterization and classification of visual shapes.
Journal ArticleDOI
Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications
Luciano da Fontoura Costa,Osvaldo N. Oliveira,Gonzalo Travieso,Francisco A. Rodrigues,Paulino Ribeiro Villas Boas,Lucas Antiqueira,Matheus P. Viana,Luis E. C. Rocha +7 more
TL;DR: A diversity of phenomena are surveyed, which may be classified into no less than 11 areas, providing a clear indication of the impact of the field of complex networks.
Journal ArticleDOI
Analyzing and modeling real-world phenomena with complex networks: a survey of applications
Luciano da Fontoura Costa,Osvaldo N. Oliveira,Gonzalo Travieso,Francisco A. Rodrigues,Paulino Ribeiro Villas Boas,Lucas Antiqueira,Matheus P. Viana,Luis E. C. Rocha +7 more
TL;DR: The success of new scientific areas can be assessed by their potential in contributing to new theoretical approaches and in applications to real-world problems as mentioned in this paper, and complex networks have fared extremely well in both these aspects, with their sound theoretical basis being developed over the years and with a variety of applications.
Journal ArticleDOI
2D Euclidean distance transform algorithms: A comparative survey
TL;DR: In this paper, state-of-the-art sequential 2D EDT algorithms are reviewed and compared, in an effort to reach more solid conclusions regarding their differences in speed and their exactness.