Inferring directed networks using a rank-based connectivity measure [software]

This page provides the source code underlying the manuscript: Leguia MG, Martínez CGB, Malvestio I, Campo A T, Rocamora R, Levnajic Z, Andrzejak RG. 2019. Inferring directed networks using a rank-based connectivity measure. Phys. Rev. E. 99, 012319 If you use any of these resources, please make sure...

Descripción completa

Detalles Bibliográficos
Autores: Grau Leguia, Marc, Martínez, Cristina G. B., Malvestio, Irene, Tauste Campo, Adrià, Rocamora, Rodrigo, Levnajić, Zoran, Andrzejak, Ralph Gregor
Tipo de recurso: conjunto de datos
Fecha de publicación:2023
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::043064bb9bc53a2b5bbffd9d8ef8360c
Acceso en línea:https://doi.org/10.34810/DATA487
Access Level:acceso abierto
Palabra clave:Computer and Information Science
Engineering
Physics
Chaotic systems
Collective dynamics
Directed networks
Electroencephalography
Nonlinear dynamics
Networks
Descripción
Sumario:This page provides the source code underlying the manuscript: Leguia MG, Martínez CGB, Malvestio I, Campo A T, Rocamora R, Levnajic Z, Andrzejak RG. 2019. Inferring directed networks using a rank-based connectivity measure. Phys. Rev. E. 99, 012319 If you use any of these resources, please make sure that you cite this reference. For more detailed information, please refer to https://www.upf.edu/web/ntsa/downloads