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Analysing Ireland's Social and Transport Networks using Sparse Cellular Network Data
Kelly, Daniel; Doyle, John; Farrell, Ronan
This work utilises data from a mobile phone network to observe the com- munication and movement patterns of the Irish population between specic locations. A novel technique is applied to mobile phone network billing data to estimate the distri- bution of the phone network population across the country at key times, namely home times and work times. From these population distributions, sets of weighted trans- portation and communications links between locations are generated. These networks are analysed using indicators commonly employed in network theory such as cluster- ing coecients and betweenness centrality. Furthermore, the ability to generate such weighted links when phone network data is unavailable is investigated.
Keyword(s): Electronic Engineering; Population Density Estimation; Network Analysis; Call Detail Records; Spa-tiotemporal Data Mining
Publication Date:
2011
Type: Conference item
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Kelly, Daniel and Doyle, John and Farrell, Ronan (2011) Analysing Ireland's Social and Transport Networks using Sparse Cellular Network Data. In: ISSC 2011, June 23-24 2011, Trinity College Dublin.
File Format(s): application/pdf
Related Link(s): http://mural.maynoothuniversity.ie/3674/1/RF_analysing_irelands.pdf
First Indexed: 2020-01-31 06:06:21 Last Updated: 2020-04-02 07:27:31