Quasistationary Distribution for the Invasion Model on a Complete Bipartite Graph
Iddo Ben-Ari, Clayton Allard, Shrikant Chand, Van Hovenga and, Edith Lee, Julia Shapiro

TL;DR
This paper analyzes the quasistationary distribution of the Invasion Model on a complete bipartite graph, revealing its limit as one partition grows large and highlighting the model's unique two-time-scale dynamics.
Contribution
It identifies the limit of the quasistationary distribution for the invasion model on bipartite graphs as one partition size tends to infinity, contrasting with related voter model results.
Findings
Limit of quasistationary distribution is highly dispersed
Model exhibits two interacting time scales
Results contrast with voter model behavior
Abstract
The Invasion Model on the complete bibartitle graph was introduced and studied by physicists as a rudimentary model for opinion dynamics on complex networks. We identify the limit of the Quasistationary distribution for the model as one partition size tends to infinity. The limit is a highly dispersed measure. A distinctive feature of the model is that of two time scales with non-trivial interaction. The work and the results complement and are in sharp contrast to the analogous results on the closely related Voter Model.
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Network Analysis Techniques · Stochastic processes and statistical mechanics
