2006.15453
The effect of heterogeneity on hypergraph contagion models
Nicholas W. Landry, Juan G. Restrepo
correctmedium confidence
- Category
- Not specified
- Journal tier
- Strong Field
- Processed
- Sep 28, 2025, 12:55 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper derives, for the degree-correlated (collective) case, the critical triangle infectivity β_c3/γ = ⟨k^3⟩⟨k⟩^2/⟨k^2⟩^3 by analyzing h(V,β2) near V=0 and using the sign of ∂h/∂V at β2=β_c2 (its Eq. (35)), and for the uncorrelated case it expands to obtain h(V,β_c2) = (a0+a1 V + a2 V^2) V^2 with explicit a0,a1,a2 and a piecewise onset criterion: saddle-node via a1^2−4 a0 a2=0 with 0≤−a1/(2a2)≤1 and a2<0, or else transcritical at a0=0 giving β_c3 = γ⟨k^3⟩/⟨k⟩^4 (Eqs. (38)–(42)) . The candidate solution reproduces exactly these steps and thresholds, including the discriminant and admissibility conditions for the uncorrelated case and the transcritical fallback at V=0, with matching moment dependence and normal-form reasoning. Hence both are correct and essentially the same proof route.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions
\textbf{Journal Tier:} strong field
\textbf{Justification:}
The results and methods in the paper align directly with the candidate solution: the onset thresholds β\_c3 for both correlated and uncorrelated cases, the discriminant-based saddle-node condition with admissibility constraints, and the transcritical fallback at V=0 are all consistent and well supported by expansions of the mean-field equations. Numerical evidence corroborates the analytical predictions. Minor clarifications on expansion assumptions and a potential typographic denominator in a0 would further improve readability without affecting correctness.