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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/45STLFB
Repositorysid.inpe.br/mtc-m21d/2021/12.01.18.24   (restricted access)
Last Update2021:12.01.18.24.37 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2021/12.01.18.24.37
Metadata Last Update2022:04.03.23.14.06 (UTC) administrator
DOI10.1140/epjs/s11734-021-00167-0
ISSN1951-6355
1951-6401
Citation KeyGouveaSilvMacaQuil:2021:FoAlTo
TitleForce-directed algorithms as a tool to support community detection
Year2021
MonthOct.
Access Date2024, May 09
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1840 KiB
2. Context
Author1 Gouvea, Alessandra M. M. M.
2 Silva, Tiago S. da
3 Macau, Elbert Einstein Nehrer
4 Quiles, Marcos G.
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JGUT
Group1
2
3 COPDT-CGIP-INPE-MCTI-GOV-BR
Affiliation1 Universidade Federal de São Paulo (UNIFESP)
2 Universidade Federal de São Paulo (UNIFESP)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade Federal de São Paulo (UNIFESP)
Author e-Mail Address1 alessandra.marli@unifesp.br
2
3 elbert.macau@unifesp.br
JournalEuropean Physical Journal: Special Topics
Volume230
Number14/15
Pages2745-2763
Secondary MarkA2_ENGENHARIAS_III A2_CIÊNCIAS_AGRÁRIAS_I B1_MEDICINA_I B1_INTERDISCIPLINAR B1_ENGENHARIAS_IV B1_ENGENHARIAS_I B2_QUÍMICA B2_ENGENHARIAS_II B5_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B5_ASTRONOMIA_/_FÍSICA C_CIÊNCIAS_BIOLÓGICAS_I C_CIÊNCIA_DE_ALIMENTOS C_BIODIVERSIDADE
History (UTC)2021-12-01 18:24:37 :: simone -> administrator ::
2021-12-01 18:24:39 :: administrator -> simone :: 2021
2021-12-01 18:25:06 :: simone -> administrator :: 2021
2022-04-03 23:14:06 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractForce-directed algorithms are a class of methods widely used to solve problems modeled via physics laws and resolved by particle simulation. Visualization of general graphs is one of the research fields which uses such algorithms and provides a vast knowledge about their benefits and challenges. Taking advantage of the knowledge provided by graph visualization theory, some authors have adopted force-directed algorithms as a tool to deal with the community detection problem. However, researches in that direction seem to be neglected by the literature of complex network. This paper explores the use of force-directed algorithms as a tool to solve the community detection problem. We revisit the works proposed in this area and point out the similarities, but mainly highlight the particularities of such a problem concerning the draw of a general graph. This literature review aims to organize the knowledge about the subject and highlight the state-of-the-art. To conduct our review, we followed a research protocol inspired by systematic review guidelines. Our review exposes that many works have chosen models that are not ideal for dealing with the community detection problem. Furthermore, we also highlight the most appropriate force-directed models for community detection.
AreaCOMP
ArrangementForce-directed algorithms as...
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source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
Target FileGouvêa2021_Article_Force-directedAlgorithmsAsAToo.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUES5
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.23.11 5
sid.inpe.br/mtc-m21/2012/07.13.14.45.07 1
DisseminationWEBSCI; PORTALCAPES.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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