@InProceedings{DiasValdPetrNona:2018:GrSpFi,
author = "Dias, Markus Diego Sampaio da Silva and Valdivia, Paola and
Petronetto, Fabiano and Nonato, Luis Gustavo",
affiliation = "{Universidade de S{\~a}o Paulo} and {Universidade de S{\~a}o
Paulo} and {Universidade Federal do Esp{\'{\i}}rito Santo} and
{Universidade de S{\~a}o Paulo}",
title = "Graph Spectral Filtering for Network Simplification",
booktitle = "Proceedings...",
year = "2018",
editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and
Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and
Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez,
Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de
and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa,
Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus,
Klaus de and Scheer, Sergio",
organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "network, graph signal processing, spectral filtering, network
simplification, visualization.",
abstract = "Visualization is an important tool in the analysis and
understanding of networks and their content. However,
visualization tools face major challenges when dealing with large
networks, mainly due to visual clutter. In this context, network
simplification has been a main alternative to handle massive
networks, reducing complexity while preserving relevant patterns
of the network structure and content. In this paper we propose a
methodology that rely on Graph Signal Processing theory to filter
multivariate data associated to network nodes, assisting and
enhancing network simplification and visualization tasks. The
simplification process takes into account both topological and
multivariate data associated to network nodes to create a
hierarchical representation of the network. The effectiveness of
the proposed methodology is assessed through a comprehensive set
of quantitative evaluation and comparisons, which gauge the impact
of the proposed filtering process in the simplification and
visualization tasks.",
conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
conference-year = "29 Oct.-1 Nov. 2018",
doi = "10.1109/SIBGRAPI.2018.00051",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2018.00051",
language = "en",
ibi = "8JMKD3MGPAW/3RPA7N2",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3RPA7N2",
targetfile = "Paper ID 70.pdf",
urlaccessdate = "2024, Apr. 28"
}