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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Código do Detentoribi 8JMKD3MGPEW34M/46T9EHH
Identificador8JMKD3MGPBW34M/3K4C7J5
Repositóriosid.inpe.br/sibgrapi/2015/08.17.22.35
Última Atualização2015:08.17.22.36.58 (UTC) markusdiegossd@gmail.com
Repositório de Metadadossid.inpe.br/sibgrapi/2015/08.17.22.35.41
Última Atualização dos Metadados2022:05.18.22.28.29 (UTC) administrator
Chave de CitaçãoDiasManRomOliNon:2015:ToReAn
TítuloVizLattes: a tool for relevance analysis from scientific co-authorship networks
FormatoOn-line
Ano2015
Data de Acesso09 maio 2025
Número de Arquivos1
Tamanho210 KiB
2. Contextualização
Autor1 Dias, Markus Diego Sampaio da Silva
2 Mansour, Moussa Reda
3 Romanetto, Luzia de Menezes
4 Oliveira, Maria Cristina Ferreira de
5 Nonato, Luis Gustavo
Afiliação1 ICMC Universidade de São Paulo
2 ICMC Universidade de São Paulo
3 ICMC Universidade de São Paulo
4 ICMC Universidade de São Paulo
5 ICMC Universidade de São Paulo
EditorComba, João Luiz Dihl
Nonao, Luis Gustavo
Endereço de e-Mailmarkusdiegossd@gmail.com
Nome do EventoWorkshop on Visual Analytics, Information Visualization and Scientific Visualization, 6 (WVIS)
Localização do EventoSalvador, BA, Brazil
Data26-29 Aug. 2015
Editora (Publisher)Sociedade Brasileira de Computação
Cidade da EditoraPorto Alegre
Título do LivroProceedings
Tipo TerciárioShort Paper
Histórico (UTC)2015-08-17 22:36:58 :: markusdiegossd@gmail.com -> administrator :: 2015
2022-05-18 22:28:29 :: administrator -> markusdiegossd@gmail.com :: 2015
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-Chavethematic paths
scientific co-authorship networks
non-negative matrix factorization
ResumoSocial network data typically carry attribute information associated with the individuals and to their relationships. Such interconnected information can be useful to identify groups of individuals sharing common attribute properties and also to investigate the behaviour of particular individuals in a global network scenario. Different approaches have been introduced to extract and identify information of interest in social networks, and community identification is one of them. Some methods focus on identifying groups or communities of individuals based on their relationships, while others try to identify groups of individuals based on the common information they share. Integrating both approaches is not straightforward, as different mathematical and computational must be implemented and integrated into a unified framework. In this paper we approach this problem and propose a new method to identify underlying communities in a network, while highlighting the information shared by their components. Our solution relies on a single unified mathematical method. As a proof-of-concept, we have applied the proposed method to scientific co-authorship networks extracted from the well-known Lattes Platform made available by CNPq, the Brazilian national science funding agency. We use textual information on the co-authors and their papers as focus attributes. We show that the method supports both community detection and also the identification of thematic paths, underlying topics and relevant authors characterizing distinct academic communities. The results presented show that this approach can be quite useful for exploration and understanding of academic collaboration networks.
Arranjourlib.net > SDLA > Fonds > WVIS 2015 > VizLattes: a tool...
Conteúdo da Pasta docacessar
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Conteúdo da Pasta agreement
agreement.html 17/08/2015 19:35 1.2 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGPBW34M/3K4C7J5
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGPBW34M/3K4C7J5
Idiomaen
Arquivo Alvograph_NMF.pdf
Grupo de Usuáriosmarkusdiegossd@gmail.com
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/banon/2001/03.30.15.38.24
Unidades Imediatamente Superiores8JMKD3MGPBW34M/3K4RUE5
Lista de Itens Citandosid.inpe.br/sibgrapi/2015/08.21.01.53 40
sid.inpe.br/banon/2001/03.30.15.38.24 2
Acervo Hospedeirosid.inpe.br/banon/2001/03.30.15.38
6. Notas
Campos Vaziosarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi 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 versiontype volume
7. Controle da descrição
e-Mail (login)markusdiegossd@gmail.com
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