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Trasarti R., Olteanu-Raimond A., Nanni M., Couronné T., Furletti B., Giannotti F., Smoreda Z., Ziemlicki C. Discovering urban and country dynamics from mobile phone data withspatial correlation patterns. In: Telecommunications Policy Journal, vol. 39 (3-4) pp. 347 - 362. Elsevier, 2015. [Online First 25 January 2014]
 
 
Abstract
(English)
Mobile communication technologies pervade our society and existing wireless networks are able to sense the movement of people, generating large volumes of data related to human activities, such as mobile phone call records. At the present, this kind of data is collected and stored by telecom operators infrastructures mainly for billing reasons, yet it represents a major source of information in the study of human mobility. In this paper, we propose an analytical process aimed at extracting interconnections between different areas of the city that emerge from highly correlated temporal variations of population local densities. To accomplish this objective, we propose a process based on two analytical tools: (i) a method to estimate the presence of people in different geographical areas; and (ii) a method to extract time- and space-constrained sequential patterns capable to capture correlations among geographical areas in terms of significant co-variations of the estimated presence. The methods are presented and combined in order to deal with two real scenarios of different spatial scale: the Paris Region and the whole France
URL: http://www.sciencedirect.com/science/article/pii/S0308596113002012
DOI: http://dx.doi.org/10.1016/j.telpol.2013.12.002
Subject Mobile phone
Location data
Mobility patterns
Urban dynamics
H.2.8 Database Applications. Data Mining


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