Enriching sparse mobility information in Call Detail Records

Abstract : Call Detail Records (CDR) are an important source of information in the study of diverse aspects of human mobility. The accuracy of mobility information granted by CDR strongly depends on the radio access infrastructure deployment and the frequency of interactions between mobile users and the network. As cellular network deployment is highly irregular and interaction frequencies are typically low, CDR are often characterized by spatial and temporal sparsity, which, in turn, can bias mobility analyses based on such data. In this paper, we precisely address this subject. First, we evaluate the spatial error in CDR, caused by approximating user positions with cell tower locations. Second, we assess the impact of the limited spatial and temporal granularity of CDR on the estimation of standard mobility metrics. Third, we propose novel and effective techniques to reduce temporal sparsity in CDR, by leveraging regularity in human movement patterns.
Type de document :
Article dans une revue
Computer Communications, Elsevier, 2018, 122, pp.44-58. 〈10.1016/j.comcom.2018.03.012〉
Liste complète des métadonnées

Littérature citée [29 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01756120
Contributeur : Guangshuo Chen <>
Soumis le : mardi 3 avril 2018 - 10:48:46
Dernière modification le : mardi 27 novembre 2018 - 13:55:11

Fichier

main_v2.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Guangshuo Chen, Sahar Hoteit, Aline Carneiro Viana, Marco Fiore, Carlos Sarraute. Enriching sparse mobility information in Call Detail Records. Computer Communications, Elsevier, 2018, 122, pp.44-58. 〈10.1016/j.comcom.2018.03.012〉. 〈hal-01756120v2〉

Partager

Métriques

Consultations de la notice

219

Téléchargements de fichiers

126