English

Heaven & Hell II: Scale Laws and Robustness in One-Step Heaven-Hell Consensus

Social and Information Networks 2025-10-28 v1 Distributed, Parallel, and Cluster Computing

Abstract

We study Heaven-Hell dynamics, a model for network consensus. A known result establishes an exact one-step convergence threshold for systems with a single uniform hub: the per-node inbound hub weight W suffices if and only if W >= maxrest, the maximum non-hub inbound mass. We develop scale laws and operational refinements that make this threshold robust to tie-breaking policies, node-specific tolerances, targeted seeding, multiple hubs, and asynchronous updates. Our contributions include a conservation-law perspective, parameterized tie policies, tighter pointwise bounds improving on classical worst-case guarantees, one-pass fairness for asynchronous updates, and sufficient conditions for seeded convergence. All proofs are mechanized in Coq, with experiments on rings, grids, scale-free graphs, and heterogeneous weighted graphs validating tightness and gap closures

Cite

@article{arxiv.2510.21950,
  title  = {Heaven & Hell II: Scale Laws and Robustness in One-Step Heaven-Hell Consensus},
  author = {Nnamdi Daniel Aghanya and Romain Leemans},
  journal= {arXiv preprint arXiv:2510.21950},
  year   = {2025}
}

Comments

12 pages, 1 figure

R2 v1 2026-07-01T07:04:54.475Z