A Hierarchical Network Simplification via Non-Negative Matrix Factorization

Markus Diego Dias, Moussa Reda Mansour, Fabio Dias, Fabiano Petronetto, Claudio Teixeira Silva, Luis Gustavo Nonato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Visualization tools play an important part in assisting analysts in the understanding of networks and underlying phenomena. However these tasks can be hindered by visual clutter. Simplification/decimation schemes have been a main alternative in this context. Nevertheless, network simplification methods have not been properly evaluated w.r.t. their effectiveness in reducing complexity while reserving relevant structures and content. Moreover, most simplification techniques only consider information extracted from the topology of the network, altogether disregarding additional content. In this work we propose a novel methodology to network simplification that leverages topological information and additional content associated with network elements. The proposed methodology relies on non-negative matrix factorization (NMF) and graph matching, combined to generate a hierarchical representation of the network, grouping the most similar elements in each level of the hierarchy. Moreover, the matrix factorization is only performed at the beginning of the process, reducing the computational cost without compromising the quality of the simplification. The effectiveness of the proposed methodology is assessed through a comprehensive set of quantitative evaluations and comparisons, which shows that our approach outperforms existing simplification methods.

Original languageEnglish (US)
Title of host publicationProceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages119-126
Number of pages8
ISBN (Electronic)9781538622193
DOIs
StatePublished - Nov 3 2017
Event30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017 - Niteroi, Rio de Janeiro, Brazil
Duration: Oct 17 2017Oct 20 2017

Publication series

NameProceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017

Other

Other30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017
CountryBrazil
CityNiteroi, Rio de Janeiro
Period10/17/1710/20/17

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Keywords

  • graph
  • matching
  • non-negative matrix factorization
  • simplification

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Signal Processing
  • Management, Monitoring, Policy and Law

Cite this

Dias, M. D., Mansour, M. R., Dias, F., Petronetto, F., Silva, C. T., & Nonato, L. G. (2017). A Hierarchical Network Simplification via Non-Negative Matrix Factorization. In Proceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017 (pp. 119-126). [8097302] (Proceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBGRAPI.2017.22