Dynamical origins of the community structure of multi-layer societies
Peter Klimek, Marina Diakonova, Victor Eguiluz, Maxi San Miguel,, Stefan Thurner

TL;DR
This paper investigates how community structures in multi-layer social networks emerge from social dynamics, using empirical data from an online game and a triadic closure-based voter model to explain observed fragmentation and community size distributions.
Contribution
It introduces a co-evolutionary voter model based on triadic closure that explains community fragmentation and size distributions in multiplex social networks.
Findings
Community size distributions follow power-law or centered around 50 individuals.
The model reproduces the observed fragmentation transition.
Layer similarities align with model predictions.
Abstract
Social structures emerge as a result of individuals managing a variety of different of social relationships. Societies can be represented as highly structured dynamic multiplex networks. Here we study the dynamical origins of the specific community structures of a large-scale social multiplex network of a human society that interacts in a virtual world of a massive multiplayer online game. There we find substantial differences in the community structures of different social actions, represented by the various network layers in the multiplex. Community size distributions are either similar to a power-law or appear to be centered around a size of 50 individuals. To understand these observations we propose a voter model that is built around the principle of triadic closure. It explicitly models the co-evolution of node- and link-dynamics across different layers of the multiplex. Depending…
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