Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach.
The increasing availability of temporal network data is calling for more research on extracting and characterizing mesoscopic structures in temporal networks and on relating such structure to specific functions or properties of the system. An outstanding challenge is the extension of the results ach...
Guardado en:
Autores principales: | Laetitia Gauvin, André Panisson, Ciro Cattuto |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8619e92618704155a9919c5379c3ac4b |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Exponential Thermal Tensor Network Approach for Quantum Lattice Models
por: Bin-Bin Chen, et al.
Publicado: (2018) -
Tensor-network approach for quantum metrology in many-body quantum systems
por: Krzysztof Chabuda, et al.
Publicado: (2020) -
Modelling sequences and temporal networks with dynamic community structures
por: Tiago P. Peixoto, et al.
Publicado: (2017) -
Optical detection of the susceptibility tensor in two-dimensional crystals
por: Zhemi Xu, et al.
Publicado: (2021) -
Interplay between mobility, multi-seeding and lockdowns shapes COVID-19 local impact.
por: Mattia Mazzoli, et al.
Publicado: (2021)