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Title:
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CROSS-SECTORAL ANALYSIS USING MOBILE COMMUNICATION TRACES |
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Author(s):
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Sonja Filiposka, Emilija Velichkovska, Vasko Popovski, Igor Mishkovski |
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ISBN:
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978-989-8533-39-5 |
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Editors:
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Ajith P. Abraham, Antonio Palma dos Reis and Jörg Roth |
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Year:
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2015 |
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Edition:
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Single |
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Keywords:
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Data mining, CDR, communication behaviour, overlaying datasets. |
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Type:
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Short Paper |
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First Page:
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189 |
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Last Page:
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193 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Analysing and understanding peoples communication patterns and behaviours provide insight into human habits and their typical actions on different timescales. Combining these results with data available from other important sectors enables the study of the interrelationship and influence of major external events on the changes in the normal communication pattern behaviours. Towards this goal, we conduct a cross-sectoral analysis using the mobile phone traces for Senegal available in the dataset provided by Orange, which we then combine with data from other sources such as news feeds, weather reports, demographic data, settlement data etc. Using voice and text traffic from a time period of one year we were able to study the daily behaviour of the mobile users country wide and pinpoint when and why non-typical behaviour is observed, like, for instance, during important holidays in Senegal or catastrophic events (such as floods). |
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