Modeling interacting dynamic networks: III. Extraordinary properties in a population of extreme introverts and extroverts
Wenjia Liu, Florian Greil, Kevin E. Bassler, Beate Schmittmann, Royce, K. P. Zia

TL;DR
This paper studies a simplified model of social networks with extreme introverts and extroverts, revealing an extraordinary transition and extreme Thouless effect, with analytical solutions for the steady-state distribution.
Contribution
It introduces the XIE model, a minimal system showing extreme properties, and provides analytical solutions for its steady-state behavior.
Findings
Fraction of I-E links jumps sharply at N_I=N_E
Distribution of links is flat at N_I=N_E, indicating a Thouless effect
Analytical degree distributions match simulations away from critical point
Abstract
Recently, we introduced dynamic networks with preferred degrees, showing that interesting properties are present in a single, homogeneous system as well as one with two interacting networks. While simulations are readily performed, analytic studies are challenging, due mainly to the lack of detailed balance in the dynamics. Here, we consider the two-community case in a special limit: a system of extreme introverts and extroverts - the XIE model. Surprising phenomena appear, even in this minimal model, where the only control parameters are the numbers of each subgroup: . Specifically, an extraordinary transition emerges when crosses . For example, the fraction of total number of I-E links jumps from to . In a system, this fraction performs a pure random walk so that its distribution displays a flat plateau across most of ,…
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Taxonomy
TopicsComplex Network Analysis Techniques · Complex Systems and Time Series Analysis · Mental Health Research Topics
