https://doi.org/10.1140/epjds/s13688-025-00613-2
Research
Multiplexity is temporal: effect of social times on network structure
1
Department of Computer Science, Aalto University, 00076, Espoo, Finland
2
Faculty of Information Technology and Communication Sciences, Tampere University, 33720, Tampere, Finland
a
This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
29
September
2025
Accepted:
16
December
2025
Published online:
6
January
2026
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.
Key words: Communication Networks / Multiplexity / Multilayer Networks / Social Behaviour
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1140/epjds/s13688-025-00613-2.
Handling Editor: Sabrina Gaito
© The Author(s) 2026
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

