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Temporal fidelity in dynamic social networks

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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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Authors and Affiliations

  1. Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800, Kongens Lyngby, Denmark

    Arkadiusz Stopczynski, Piotr Sapiezynski & Sune Lehmann

  2. Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139-4307, USA

    Arkadiusz Stopczynski & Alex ‘Sandy’ Pentland

  3. Niels Bohr Institute, University of Copenhagen, 2100, Copenhagen, Denmark

    Sune Lehmann

Authors
  1. Arkadiusz Stopczynski
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  2. Piotr Sapiezynski
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  3. Alex ‘Sandy’ Pentland
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  4. Sune Lehmann
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Corresponding author

Correspondence to Arkadiusz Stopczynski.

Additional information

Contribution to the Topical Issue “Temporal Network Theory and Applications”, edited by Petter Holme.

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Stopczynski, A., Sapiezynski, P., Pentland, A.‘. et al. Temporal fidelity in dynamic social networks. Eur. Phys. J. B 88, 249 (2015). https://doi.org/10.1140/epjb/e2015-60549-7

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  • DOI: https://doi.org/10.1140/epjb/e2015-60549-7

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