We introduce a majority-rule model in which collective reversal can be activated in highly aligned groups even when a limited number of members dissent. The dissent tolerance $d$ extends the strict-unanimity dynamics by making near-unanimous group compositions eligible for reversal. Mean-field analysis and simulations reveal that this change qualitatively alters the phase structure. Under strict unanimity, a physically accessible transition exists only for $n=3$ and $n=4$. Allowing dissent restores transitions at larger interaction sizes, replacing the fixed interaction-size threshold with an accessibility boundary in the $(n,d)$ plane. When the activation window is sufficiently broad, directional asymmetry can eliminate one of the two ordered attractors through a saddle-node bifurcation, producing a single stable collective state. In the one-sided case, increasing the dissent tolerance can shorten the transient approach to consensus but leaves its leading logarithmic dependence on population size unchanged. Activation selectivity acts as an independent control parameter for collective ordering, bistability, and consensus dynamics.
Modern societies comprise overlapping communities whose opinions evolve on strongly interacting networks that are often mutually antagonistic. We introduce a minimal antagonistic multiplex consensus model in which each layer follows intra-layer majority-rule dynamics, while inter-layer interactions are inhibitory. A me...
J. C. Hughes, A. Kusmartseva, G. Muschert et al.· Entropy· 0 citations
A cumulative-discrepancy characterization further explains why transport-small summaries can remain behaviorally inaccurate at response thresholds and explains why broadcast summary error survives as collective noise whereas independently personalized error self-averages survive as collective noise.
A Minimally-Nonlinear Opinion Dynamics framework is proposed that analytically characterizes dynamic polarization as a truly emergent collective behavior arising solely from local, agent-level opinion-update rules without externally imposed mechanisms.
A hierarchical extension of the May-Leonard model, in which species interact through a directed predation chain while undergoing reproduction and mortality, is investigated, showing that the fully coexisting state is generically unstable, causing the dynamics to evolve toward lower-dimensional coexistence states.
Rakesh Samanta, Shraosi Dawn, Sk Jahiruddin et al.· 0 citations
We study nonzero-frequency phase-locked motions in asymmetrically coupled Kuramoto networks. Such motions are relative equilibria with fixed phase differences and a nonzero common angular velocity, and we call them dancing equilibria. Their existence requires all coupling sums to have the same nonzero value. We show th...
A unified predictive model is introduced that accurately estimates how structural and behavioral parameters determine the time required for complete adoption, showing that mobility is the dominant accelerator while memory and connectivity modulate convergence in systematic ways.
Joseph Shymanski, G. Springer, S. Sen· 0 citations
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