A benchmarking tool for the generation of bipartite network models with overlapping communities (2020)
- Authors:
- USP affiliated authors: OLIVEIRA, MARIA CRISTINA FERREIRA DE - ICMC ; LOPES, ALNEU DE ANDRADE - ICMC ; VALEJO, ALAN DEMETRIUS BARIA - ICMC ; GÓES, FABIANA RODRIGUES DE - ICMC ; ROMANETTO, LUZIA DE MENEZES - ICMC
- Unidade: ICMC
- DOI: 10.1007/s10115-019-01411-9
- Subjects: REDES COMPLEXAS; REDES SOCIAIS; BENCHMARKS; ALGORITMOS ÚTEIS E ESPECÍFICOS
- Keywords: Bipartite networks; Heterogeneous networks; Community detection; Overlapping community detection; Synthetic networks
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Knowledge and Information Systems
- ISSN: 0219-1377
- Volume/Número/Paginação/Ano: v. 62, n. 4, p. 1641-1669, Apr. 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
VALEJO, Alan Demetrius Baria et al. A benchmarking tool for the generation of bipartite network models with overlapping communities. Knowledge and Information Systems, v. 62, n. 4, p. 1641-1669, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10115-019-01411-9. Acesso em: 02 maio 2024. -
APA
Valejo, A. D. B., Goes, F. R. de, Romanetto, L. de M., Oliveira, M. C. F. de, & Lopes, A. de A. (2020). A benchmarking tool for the generation of bipartite network models with overlapping communities. Knowledge and Information Systems, 62( 4), 1641-1669. doi:10.1007/s10115-019-01411-9 -
NLM
Valejo ADB, Goes FR de, Romanetto L de M, Oliveira MCF de, Lopes A de A. A benchmarking tool for the generation of bipartite network models with overlapping communities [Internet]. Knowledge and Information Systems. 2020 ; 62( 4): 1641-1669.[citado 2024 maio 02 ] Available from: https://doi.org/10.1007/s10115-019-01411-9 -
Vancouver
Valejo ADB, Goes FR de, Romanetto L de M, Oliveira MCF de, Lopes A de A. A benchmarking tool for the generation of bipartite network models with overlapping communities [Internet]. Knowledge and Information Systems. 2020 ; 62( 4): 1641-1669.[citado 2024 maio 02 ] Available from: https://doi.org/10.1007/s10115-019-01411-9 - A coarsening method for bipartite networks via weight-constrained label propagation
- Unsupervised learning of textual pattern based on propagation in bipartite graph
- Visualization to assist interpretation of the multilevel paradigm in bipartite graphs
- Multilevel approach for combinatorial optimization in bipartite network
- Centrality measures from complex networks in active learning
- Music genre classification using traditional and relational approaches
- Similarity-based network models and how evaluate them
- An incremental space to visualize dynamic data sets
- Incremental board: a grid-based space for visualizing dynamic data sets
- Community detection in bipartite network: a modified coarsening approach
Informações sobre o DOI: 10.1007/s10115-019-01411-9 (Fonte: oaDOI API)
Download do texto completo
Tipo | Nome | Link | |
---|---|---|---|
2971245_final.pdf | |||
2971245.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas