Network community detection via iterative edge removal in a flocking-like system (2018)
- Authors:
- Autor USP: LIANG, ZHAO - FFCLRP
- Unidade: FFCLRP
- Subjects: REDES COMPLEXAS; ENGENHARIA ELÉTRICA
- Keywords: Community detection; Modularity optimization; Flocking formation; Complex networks
- Language: Inglês
- Imprenta:
- Source:
- Título: ArXiv Statistics
- Volume/Número/Paginação/Ano: p. 1-6, 2018
-
ABNT
VERRI, Filipe Alves Neto et al. Network community detection via iterative edge removal in a flocking-like system. ArXiv Statistics, p. 1-6, 2018Tradução . . Disponível em: https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system. Acesso em: 22 jan. 2026. -
APA
Verri, F. A. N., Gueleri, R. A., Zheng, Q., & Liang, Z. (2018). Network community detection via iterative edge removal in a flocking-like system. ArXiv Statistics, 1-6. Recuperado de https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system -
NLM
Verri FAN, Gueleri RA, Zheng Q, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. ArXiv Statistics. 2018 ; 1-6.[citado 2026 jan. 22 ] Available from: https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system -
Vancouver
Verri FAN, Gueleri RA, Zheng Q, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. ArXiv Statistics. 2018 ; 1-6.[citado 2026 jan. 22 ] Available from: https://www.researchgate.net/publication/323141978_Network_community_detection_via_iterative_edge_removal_in_a_flocking-like_system - Traffic congestion on clustered random complex networks
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- Features of edge-centric collective dynamics in machine learning tasks
- Stochastic competitive learning in complex networks
- QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes
- Attack vulnerability of scale-free networks due to cascading breakdown
- Particle competition and cooperation in networks for semi-supervised learning
- Controlled consensus time for community detection in complex networks
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