The elliptic model for communication fluxes

Herrera Yagüe, Carlos; Schneider, C. M.; Smoreda, Zbigniew; Couronné, Thomas; Zufiria Zatarain, Pedro Jose y González, Marta C. (2014). The elliptic model for communication fluxes. "Journal of Statistical Mechanics: Theory and Experiment", v. 2014 ; pp. 1-12. ISSN 1742-5468. https://doi.org/10.1088/1742-5468/2014/04/P04022.

Descripción

Título: The elliptic model for communication fluxes
Autor/es:
  • Herrera Yagüe, Carlos
  • Schneider, C. M.
  • Smoreda, Zbigniew
  • Couronné, Thomas
  • Zufiria Zatarain, Pedro Jose
  • González, Marta C.
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Statistical Mechanics: Theory and Experiment
Fecha: Abril 2014
Volumen: 2014
Materias:
Palabras Clave Informales: Network dynamics, scaling in socio-economic systems, socio-economic networks, traffic and crowd dynamics
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Matemática Aplicada a las Tecnologías de la Información y las Comunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this paper, a model (called the elliptic model) is proposed to estimate the number of social ties between two locations using population data in a similar manner to how transportation research deals with trips. To overcome the asymmetry of transportation models, the new model considers that the number of relationships between two locations is inversely proportional to the population in the ellipse whose foci are in these two locations. The elliptic model is evaluated by considering the anonymous communications patterns of 25 million users from three different countries, where a location has been assigned to each user based on their most used phone tower or billing zip code. With this information, spatial social networks are built at three levels of resolution: tower, city and region for each of the three countries. The elliptic model achieves a similar performance when predicting communication fluxes as transportation models do when predicting trips. This shows that human relationships are influenced at least as much by geography as is human mobility.

Más información

ID de Registro: 35853
Identificador DC: http://oa.upm.es/35853/
Identificador OAI: oai:oa.upm.es:35853
Identificador DOI: 10.1088/1742-5468/2014/04/P04022
URL Oficial: http://iopscience.iop.org/1742-5468/2014/4/P04022/article?fromSearchPage=true
Depositado por: Memoria Investigacion
Depositado el: 28 Jun 2015 11:49
Ultima Modificación: 28 Jun 2015 11:49
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