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Factorisation de réseaux temporels : étude des rythmes hebdomadaires du système Vélo'v

Ronan Hamon 1, * Pierre Borgnat 1 Cédric Févotte 2 Patrick Flandrin 1 Céline Robardet 3 
* Corresponding author
3 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : We study the Vélo'v system, a fully automated bike-sharing system in Lyon, using a temporal network representation. A decomposition of this network is proposed by using nonnegative matrix factorisation (NMF), whose the choice of parameters is discussed. This decomposition enables us to represent the temporal network as a mixture of subnetwork, whose structures describe specific behaviors of Vélo'v users, in relation with the geographical and socio-economical space. Coefficients of activation associated to the patterns separate temporally each subnetwork, enabling an interpretation consistent with the literature on bike-sharing systems.
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Submitted on : Tuesday, September 15, 2015 - 10:52:22 AM
Last modification on : Friday, September 30, 2022 - 11:34:16 AM
Long-term archiving on: : Tuesday, December 29, 2015 - 7:04:18 AM


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  • HAL Id : hal-01199256, version 1


Ronan Hamon, Pierre Borgnat, Cédric Févotte, Patrick Flandrin, Céline Robardet. Factorisation de réseaux temporels : étude des rythmes hebdomadaires du système Vélo'v. Colloque GRETSI 2015, Sep 2015, Lyon, France. ⟨hal-01199256⟩



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