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2207.12328

Projecting social contact matrices to populations stratified by binary attributes with known homophily

Claus Kadelka

incompletehigh confidence
Category
Not specified
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper’s Theorem 4.5 asserts that the feasible homophily values form a closed interval [h_min, h_max] containing 0, and gives a convex-combination argument implying star-shapedness around 0, using the h=0 construction (Lemma 4.4) and the linearity-in-C step for φ along convex combinations. However, the proof as written does not justify that endpoints are attained (i.e., it does not establish compactness/closedness of the feasible set), even though the statement claims a closed interval. The candidate solution supplies exactly this missing piece by linearizing with flows F=N^?C^?, proving the feasible set under (a)–(c) is a compact convex polytope and that φ is a linear functional with constant denominator, hence the image is a compact interval; it then maps φ to h continuously (including edge cases). Thus the model’s solution is correct and fills the paper’s gap. Key ingredients from the paper used and matched by the model are Definition 4.1 (constraints (a)–(d)), the Xc=y formulation, Lemma 4.4 (existence of h=0), and the φ↔h relation; see Definition 4.1 and Remark 4.2, Lemma 4.4, Theorem 4.5, and Equations (5)–(7) in the paper .

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

This manuscript provides a clean, actionable methodology to incorporate binary-attribute homophily into contact matrices, anchored by linear constraints and an optimization interface. The overall framework is sound and useful for mathematical epidemiology. The only notable gap is in the proof of Theorem 4.5: while the interval structure is established by convex combinations, the claim that the feasible h-set is a closed interval requires a compactness/endpoint-attainment argument (e.g., via flows or bounded row sums). Adding this would fully align the proof with the stated theorem.