Visualization to assist interpretation of the multilevel paradigm in bipartite graphs (2020)
- Authors:
- USP affiliated authors: LOPES, ALNEU DE ANDRADE - ICMC ; OLIVEIRA, MARIA CRISTINA FERREIRA DE - ICMC ; CINTRA, DIEGO SILVA - ICMC ; VALEJO, ALAN DEMETRIUS BARIA - FFCLRP
- Unidades: ICMC; FFCLRP
- DOI: 10.5220/0008903501330140
- Subjects: VISUALIZAÇÃO; COMPUTAÇÃO GRÁFICA
- Keywords: Bipartite Graphs; Multilevel Paradigm; Graph Summarization
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SciTePress
- Publisher place: Lisboa
- Date published: 2020
- Source:
- Título do periódico: Proceedings
- Conference titles: International joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by-nc-nd
-
ABNT
CINTRA, Diego Silva et al. Visualization to assist interpretation of the multilevel paradigm in bipartite graphs. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0008903501330140. Acesso em: 04 jun. 2024. -
APA
Cintra, D. S., Valejo, A. D. B., Lopes, A. de A., & Oliveira, M. C. F. de. (2020). Visualization to assist interpretation of the multilevel paradigm in bipartite graphs. In Proceedings. Lisboa: SciTePress. doi:10.5220/0008903501330140 -
NLM
Cintra DS, Valejo ADB, Lopes A de A, Oliveira MCF de. Visualization to assist interpretation of the multilevel paradigm in bipartite graphs [Internet]. Proceedings. 2020 ;[citado 2024 jun. 04 ] Available from: https://doi.org/10.5220/0008903501330140 -
Vancouver
Cintra DS, Valejo ADB, Lopes A de A, Oliveira MCF de. Visualization to assist interpretation of the multilevel paradigm in bipartite graphs [Internet]. Proceedings. 2020 ;[citado 2024 jun. 04 ] Available from: https://doi.org/10.5220/0008903501330140 - A coarsening method for bipartite networks via weight-constrained label propagation
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Informações sobre o DOI: 10.5220/0008903501330140 (Fonte: oaDOI API)
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