Carolan, Emmett, McLoone, Seamus, McLoone, Sean F. and Farrell, Ronan (2012) Analysing Ireland’s Interurban Communication Network using Call Data Records. In: 23rd Irish Signals and Systems Conference, June 28-29 2012, Maynooth, Ireland.
PDF
RF_Interurban_Communication.pdf
Download (449kB)
RF_Interurban_Communication.pdf
Download (449kB)
Abstract
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.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Additional Information: | This work has been supported through the SFI Centre for Telecommunications Research (SFI-CE-I1853). We gratefully acknowledge the support of Meteor for all their assistance with this projec |
Keywords: | Call Detail Records; Network Analysis; Population Density Estimation; Gravity Model; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 3955 |
Depositing User: | Ronan Farrell |
Date Deposited: | 23 Oct 2012 14:52 |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/3955 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year