Temporal fidelity in dynamic social networks

  • Arkadiusz Stopczynski
  • Piotr Sapiezynski
  • Alex ‘Sandy’ Pentland
  • Sune Lehmann
Regular Article
Part of the following topical collections:
  1. Topical issue: Temporal Network Theory and Applications

Abstract

It has recently become possible to record detailed social interactions in large social systems with high resolution. As we study these datasets, human social interactions display patterns that emerge at multiple time scales, from minutes to months. On a fundamental level, understanding of the network dynamics can be used to inform the process of measuring social networks. The details of measurement are of particular importance when considering dynamic processes where minute-to-minute details are important, because collection of physical proximity interactions with high temporal resolution is difficult and expensive. Here, we consider the dynamic network of proximity-interactions between approximately 500 individuals participating in the Copenhagen Networks Study. We show that in order to accurately model spreading processes in the network, the dynamic processes that occur on the order of minutes are essential and must be included in the analysis.

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Copyright information

© EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Arkadiusz Stopczynski
    • 1
    • 2
  • Piotr Sapiezynski
    • 1
  • Alex ‘Sandy’ Pentland
    • 2
  • Sune Lehmann
    • 1
    • 3
  1. 1.Department of Applied Mathematics and Computer ScienceTechnical University of DenmarkKongens LyngbyDenmark
  2. 2.Media LabMassachusetts Institute of TechnologyCambridgeUSA
  3. 3.Niels Bohr InstituteUniversity of CopenhagenCopenhagenDenmark

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