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Communication Dans Un Congrès Année : 2017

Spatio-Temporal Completion of Call Detail Records for Human Mobility Analysis

Résumé

Call Detail Records (CDRs) have been widely used in the last decades for studying different aspects of human mobility. The accuracy of CDRs strongly depends on the user-network interaction frequency: hence, the temporal and spatial sparsity that typically characterize CDR can introduce a bias in the mobility analysis. In this paper, we evaluate the bias induced by the use of CDRs for inferring important locations of mobile subscribers, as well as their complete trajectories. Besides, we propose a novel technique for estimating real human trajectories from sparse CDRs. Compared to previous solutions in the literature, our proposed technique reduces the error between real and estimated human trajectories and at the same time shortens the temporal period where users’ locations remain undefined.
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Dates et versions

hal-01516717 , version 1 (02-05-2017)

Identifiants

  • HAL Id : hal-01516717 , version 1

Citer

Sahar Hoteit, Guangshuo Chen, Aline C Viana, Marco C Fiore. Spatio-Temporal Completion of Call Detail Records for Human Mobility Analysis. Rencontres Francophones sur la Conception de Protocoles, l’Évaluation de Performance et l’Expérimentation des Réseaux de Communication, May 2017, Quiberon, France. ⟨hal-01516717⟩
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