Analysis of the communities of an urban mobile phone network

PLoS One. 2017 Mar 23;12(3):e0174198. doi: 10.1371/journal.pone.0174198. eCollection 2017.

Abstract

Being able to characterise the patterns of communications between individuals across different time scales is of great importance in understanding people's social interactions. Here, we present a detailed analysis of the community structure of the network of mobile phone calls in the metropolitan area of Milan revealing temporal patterns of communications between people. We show that circadian and weekly patterns can be found in the evolution of communities, presenting evidence that these cycles arise not only at the individual level but also at that of social groups. Our findings suggest that these trends are present across a range of time scales, from hours to days and weeks, and can be used to detect socially relevant events.

MeSH terms

  • Algorithms
  • Cell Phone / statistics & numerical data*
  • Communication
  • Humans
  • Interpersonal Relations*
  • Italy
  • Models, Statistical
  • Social Support
  • Time Factors
  • Urban Population / statistics & numerical data*

Grants and funding

FB acknowledges the support of UK EPSRC EP/E501311/1. CIDG acknowledges support by EINS, Network of Excellence in Internet Science, via the European Commission’s FP7 under Communications Networks, Content and Technologies, grant No. 288021. This research utilised Queen Mary’s MidPlus computational facilities, supported by QMUL Research-IT and funded by EPSRC grant EP/K000128/1. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.