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Multiplexity is temporal: effect of social times on network structure

  • Javier Ureña-Carrion*
  • , Sara Heydari
  • , Talayeh Aledavood
  • , Jari Saramäki
  • , Mikko Kivelä
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Large-scale social networks constructed using contact metadata—emails, texts, and calls—have been invaluable tools for understanding and testing social theories of society-wide social structures. However, multiplex relationships explaining different social contexts have been out of reach of this methodology, limiting our ability to understand this crucial aspect of social systems. We propose a method that infers latent social times from the weekly activity of large-scale contact metadata, and reconstruct multilayer networks where layers correspond to social times. We then analyze the temporal multiplexity of ties in a society-wide communication network of millions of individuals. This allows us to test the propositions of Feld’s social focus theory across a society-wide network. We show that ties favour their own social times regardless of contact intensity, suggesting they reflect underlying social foci. We present a result on strength of monoplex ties, which indicates that monoplex ties are bridging and even more important for global network connectivity than the weak, low-contact ties. Finally, we show that social times are transitive, so that when egos use a social time for a small subset of alters, the alters use the social time among themselves as well. Our framework opens up a way to analyse large-scale communication as multiplex networks and uncovers society-level patterns of multiplex connectivity.

Original languageEnglish
Article number11
JournalEPJ Data Science
Volume15
Issue number1
DOIs
Publication statusPublished - Jan 2026
Publication typeA1 Journal article-refereed

Funding

Open access funding provided by Tampere University (including Tampere University Hospital). M.K. acknowledges support from the Academy of Finland grant numbers 349366, 353799, and 352561. We acknowledge the computational resources provided by the Aalto Science–IT project. The study was part of the NetResilience consortium funded by the Strategic Research Council at the Academy of Finland (grant numbers 345188 and 345183).

Keywords

  • Communication Networks
  • Multilayer Networks
  • Multiplexity
  • Social Behaviour

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Computational Mathematics

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