Activity Pattern Analysis of the Mobile Phone Network During a Large Social Event

Abstract

By carrying mobile phones, people leaves digital footprints in the mobile phone network that provides rich information about the transportation customs. To understand the behavior of urban environments this data, provided by a Hungarian mobile network operator, is analyzed. The behavior of the city parts has been analyzed using the number of mobile phone activities including calls, texting and data transfer. The proposed approach is to identify regions of a city with similar behavior in mobile phone activity. This paper demonstrates the introduced method using a public demonstration event as a case study. It is clear from the data that the demonstrators caused an increase in the mobile phone network load at the places of the demonstration, so it was possible to identify their path.

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