Particle competition for complex network community detection (2008)
- Authors:
- USP affiliated authors: LIANG, ZHAO - ICMC ; ROMERO, ROSELI APARECIDA FRANCELIN - ICMC
- Unidade: ICMC
- DOI: 10.1063/1.2956982
- Subjects: REDES COMPLEXAS; MINERAÇÃO DE DADOS
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
QUILES, Marcos Gonçalves et al. Particle competition for complex network community detection. Chaos, v. 18, p. 033107-1-033107-10, 2008Tradução . . Disponível em: https://doi.org/10.1063/1.2956982. Acesso em: 28 fev. 2026. -
APA
Quiles, M. G., Liang, Z., Alonso, R. L., & Romero, R. A. F. (2008). Particle competition for complex network community detection. Chaos, 18, 033107-1-033107-10. doi:10.1063/1.2956982 -
NLM
Quiles MG, Liang Z, Alonso RL, Romero RAF. Particle competition for complex network community detection [Internet]. Chaos. 2008 ; 18 033107-1-033107-10.[citado 2026 fev. 28 ] Available from: https://doi.org/10.1063/1.2956982 -
Vancouver
Quiles MG, Liang Z, Alonso RL, Romero RAF. Particle competition for complex network community detection [Internet]. Chaos. 2008 ; 18 033107-1-033107-10.[citado 2026 fev. 28 ] Available from: https://doi.org/10.1063/1.2956982 - Selecting salient objects in real scenes: an oscillatory correlation model
- Model of top-down/bottom-up visual attention for location of salient objects in specific domains
- An object-based visual selection framework
- A pulse-coupled neural network as a simplified bottom-up attention model
- A visual selection mechanism based on a pulse-coupled neural network
- An oscillatory correlation model of object-based attention
- An object-based visual selection model combining physical features and memory
- A visual selection mechanism based on network of chaotic Wilson-Cowan oscillators
- Detecção de comunidades em redes complexas: um modelo de correlação oscilatória
- Visual selection and shifting mechanism based on a network of chaotic Wilson-Cowan oscillators
Informações sobre o DOI: 10.1063/1.2956982 (Fonte: oaDOI API)
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