Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloEnriching sparse mobility information in Call Detail Records
Anno di pubblicazione2018
  • Elettronico
  • Cartaceo
Autore/iChen, Guangshuo; Chen, Guangshuo; Hoteit, Sahar; Viana, Aline Carneiro; Fiore, Marco; Sarraute, Carlos
Affiliazioni autoriUniversite Paris-Saclay; Universite Paris-Saclay; Laboratoire des Signaux et Systemes; Consiglio Nazionale delle Ricerche; Grandata Labs
Autori CNR e affiliazioni
  • inglese
AbstractCall 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. Tests with real-world datasets show that our solutions can reduce temporal sparsity in CDR by recovering 75% of daytime hours, while retaining a spatial accuracy within 1 km for 95% of the completed data.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da44
Pagine a58
Pagine totali-
RivistaComputer communications
Attiva dal 1978
Editore: IPC Science and Technology Press, - Guildford
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 0140-3664
Titolo chiave: Computer communications
Titolo proprio: Computer communications.
Titolo abbreviato: Comput. commun.
Numero volume della rivista122
Fascicolo della rivista-
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85044117247)
Parole chiaveCall Detail Records, Cellular networks, Data sparsity, Mobility, Movement inference, Spatiotemporal trajectories
Link (URL, URI)
Titolo parallelo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli/Attività/Sottoprogetti CNR
  • DIT.AD003.073.001 : DAWN4IoE - Data Aware Wireless Networks for Internet of Everything
Progetti Europei