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A non-negative matrix factorization approach to update communities in temporal networks using node features

Renny Márquez Richard Weber; André Carlos Ponce de Leon Ferreira de Carvalho; IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM (2019 Vancouver)

Proceedings New York : ACM, 2019

Available at ICMC - Inst. Ciên. Mat. Computação (PROD-2966403 )(GetIt)

Title:
A non-negative matrix factorization approach to update communities in temporal networks using node features
Author: Renny Márquez
Richard Weber; André Carlos Ponce de Leon Ferreira de Carvalho; IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM (2019 Vancouver)
Subjects: RECONHECIMENTO DE PADRÕES; FATORIZAÇÃO DE MATRIZES; ALGORITMOS ÚTEIS E ESPECÍFICOS; Community Detection; Non-Negative Matrix Factorization; Temporal Networks; Node Attributes
Is Part Of: Proceedings New York : ACM, 2019
Notes: Disponível em: . Acesso em: 01 out. 2019
Publisher: New York ACM
Creation Date: 2019
Format: p. 728-732.
Language: English

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