Analysing Ireland's interurban communication network using call data records

This work utilises data from an Irish mobile phone network to provide a preliminary, but novel, analysis of the interurban communication network between twenty five of the largest cities and towns in Ireland. An intuitive technique is applied to a mobile phone operator's call detail records to identify the actual subscriber population of different urban areas with various penetration rates. Weighted communication links are generated between the urban centres based on spatial and temporal metrics of distance, and are examined for different times of the day and for different days of the week. These communication links are compared to the output of a standard gravity model in order to ascertain the latter's ability to accurately represent Ireland's interurban communication network. The results obtained are presented and discussed within. (6 pages)

[1]  Wayne K.D. Davies Urban connectivity in Montana , 1979 .

[2]  Francisco G. Benitez,et al.  Review of traffic data estimations extracted from cellular networks , 2008 .

[3]  G. Zipf,et al.  Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology. , 1949 .

[4]  Christos Faloutsos,et al.  Mobile call graphs: beyond power-law and lognormal distributions , 2008, KDD.

[5]  O. Järv,et al.  Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones , 2010 .

[6]  H. Stanley,et al.  Gravity model in the Korean highway , 2007, 0710.1274.

[7]  A. Barabasi,et al.  Analysis of a large-scale weighted network of one-to-one human communication , 2007, physics/0702158.

[8]  Marta C. González,et al.  Understanding individual human mobility patterns , 2008, Nature.

[9]  A-L Barabási,et al.  Structure and tie strengths in mobile communication networks , 2006, Proceedings of the National Academy of Sciences.

[10]  D. Watts,et al.  An Experimental Study of Search in Global Social Networks , 2003, Science.

[11]  F. Calabrese,et al.  Urban gravity: a model for inter-city telecommunication flows , 2009, 0905.0692.

[12]  A. Vespignani,et al.  The architecture of complex weighted networks. , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Etienne Huens,et al.  Geographical dispersal of mobile communication networks , 2008, 0802.2178.

[14]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[15]  Ronan Farrell,et al.  Analysing Ireland's Social and Transport Networks using Sparse Cellular Network Data , 2011 .