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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3RPA7N2
Repositorysid.inpe.br/sibgrapi/2018/09.03.19.21
Last Update2018:09.03.19.21.15 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2018/09.03.19.21.15
Metadata Last Update2022:06.14.00.09.21 (UTC) administrator
DOI10.1109/SIBGRAPI.2018.00051
Citation KeyDiasValdPetrNona:2018:GrSpFi
TitleGraph Spectral Filtering for Network Simplification
FormatOn-line
Year2018
Access Date2024, Apr. 28
Number of Files1
Size5806 KiB
2. Context
Author1 Dias, Markus Diego Sampaio da Silva
2 Valdivia, Paola
3 Petronetto, Fabiano
4 Nonato, Luis Gustavo
Affiliation1 Universidade de São Paulo
2 Universidade de São Paulo
3 Universidade Federal do Espírito Santo
4 Universidade de São Paulo
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addressmarkusdiegossd@gmail.com
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2018-09-03 19:21:15 :: markusdiegossd@gmail.com -> administrator ::
2022-06-14 00:09:21 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsnetwork
graph signal processing
spectral filtering
network simplification
visualization
AbstractVisualization 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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Graph Spectral Filtering...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Graph Spectral Filtering...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3RPA7N2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3RPA7N2
Languageen
Target FilePaper ID 70.pdf
User Groupmarkusdiegossd@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 11
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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