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Discovering Spatial Interaction Communities from Mobile Phone Data
2013
Transactions on GIS
In the age of Big Data, the widespread use of location-awareness technologies has made it possible to collect spatio-temporal interaction data for analyzing flow patterns in both physical space and cyberspace. This research attempts to explore and interpret patterns embedded in the network of phone-call interaction and the network of phone-users' movements, by considering the geographical context of mobile phone cells. We adopt an agglomerative clustering algorithm based on a Newman-Girvan
doi:10.1111/tgis.12042
fatcat:yxk2cyrf7jg6rngt35vingbuzy