Phase Transition of the k-Majority Dynamics in Biased Communication Models
Emilio Cruciani, Hlafo Alfie Mimun, Matteo Quattropani, Sara Rizzo

TL;DR
This paper studies how biased external influences can cause a sudden shift in the majority opinion in a network under the k-Majority dynamics, revealing a sharp phase transition depending on the bias strength.
Contribution
It introduces a model analyzing the robustness of k-Majority dynamics against two types of bias, identifying a phase transition in the time to subversion based on bias probability.
Findings
Existence of a critical bias threshold p* for subversion.
Sharp phase transition in subversion time at p*.
For k<3, no phase transition, quick disruption for any bias >0.
Abstract
Consider a graph where each of the nodes is either in state or . Herein, we analyze the \emph{synchronous -Majority dynamics}, where in each discrete-time round nodes simultaneously sample neighbors uniformly at random with replacement and adopt the majority state among those of the nodes in the sample (breaking ties uniformly at random). Differently from previous work, we study the robustness of the -Majority in \emph{maintaining a majority}, when the dynamics is subject to two forms of \emph{bias} toward state . The bias models an external agent that attempts to subvert the initial majority by altering the communication between nodes, with a probability of success in each round: in the first form of bias, the agent tries to alter the communication links by transmitting state ; in the second form of…
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Taxonomy
TopicsGame Theory and Applications · Complex Network Analysis Techniques · Opinion Dynamics and Social Influence
