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Evolving connectivity graphs in mobile phone data

Authors: Olivera Novović; Sanja Brdar; Vladimir Crnojević;

Evolving connectivity graphs in mobile phone data

Abstract

In this study we explored connectivity graphs evaluated based on mobile phone data to detect the pulse of the city. CDRs used in our research are provided by the Semantics and Knowledge Innovation Lab (SKIL) of Telecom Italia. The records refer to the communication inside city of Milan for a time period of two months (November and December 2013). We extracted several graph properties and detected unique patterns.

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Keywords

Big Data, mobile phone data, connectivity graphs

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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