Discovering urban and country dynamics from mobile phone data withspatial correlation patterns (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Discovering urban and country dynamics from mobile phone data withspatial correlation patterns (Articolo in rivista) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1016/j.telpol.2013.12.002 (literal)

Alternative label

• Trasarti R., Olteanu-Raimond A., Nanni M., Couronné T., Furletti B., Giannotti F., Smoreda Z., Ziemlicki C. (2014)
  Discovering urban and country dynamics from mobile phone data withspatial correlation patterns
  in Telecommunications policy
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Trasarti R., Olteanu-Raimond A., Nanni M., Couronné T., Furletti B., Giannotti F., Smoreda Z., Ziemlicki C. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.sciencedirect.com/science/article/pii/S0308596113002012 (literal)

Rivista

• Telecommunications policy (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 16 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• Online (literal)

Note

• PuMa (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-ISTI, Pisa, Italy; Sociology and Economics of Networks and Services dept., Orange Labs, Paris, France; CNR-ISTI, Pisa, Italy; Sociology and Economics of Networks and Services dept., Orange Labs, Paris, France; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; Sociology and Economics of Networks and Services dept., Orange Labs, Paris, France; Sociology and Economics of Networks and Services dept., Orange Labs, Paris, France (literal)

Titolo

• Discovering urban and country dynamics from mobile phone data withspatial correlation patterns (literal)

Abstract

• 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 (literal)

Prodotto di

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)

Autore CNR

• MIRCO NANNI (Unità di personale interno)
• BARBARA FURLETTI (Unità di personale interno)
• ROBERTO TRASARTI (Unità di personale interno)
• FOSCA GIANNOTTI (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Discovering urban and country dynamics from mobile phone data withspatial correlation patterns" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)

Autore CNR di

• MIRCO NANNI (Unità di personale interno)
• FOSCA GIANNOTTI (Unità di personale interno)
• ROBERTO TRASARTI (Unità di personale interno)
• BARBARA FURLETTI (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Telecommunications policy (Rivista)

Insieme di parole chiave di

• Parole chiave di "Discovering urban and country dynamics from mobile phone data withspatial correlation patterns" (Insieme di parole chiave)