Coordination Science Research
Independent research program investigating universal scaling laws in coordination systems. Why do biological, social, and technological systems cluster into exactly two scaling regimes when they grow?
Latest
Capacity Constraint Forces a Bifurcation in Coordination Scaling Laws
SubmittedCross-domain framework showing capacity constraints force coordination systems into two universal scaling regimes. Validated across trust networks, tumor metabolism, software teams, and citation networks.
Key Results
Spectral concentration in trust networks exceeds preferential attachment nulls by z = 43–112, ruling out trivial hub dominance.
Variance of scaling exponents peaks 56-fold at N ≈ 100–200, the signature of a continuous phase transition (p < 10⁻⁸).
Spectral dimension d̂s predicts scaling exponent β via the WBE mapping across software teams and collaboration networks.
Within-system growth-productivity tradeoff across 7,743 repositories (p < 10⁻⁶), direction confirmed by Granger causality.
Increasing system capacity C should move scaling exponents back toward β ≈ 1 — testable via organizational interventions.
Empirical Domains
Heavy-tailed degree distributions in 75K+ node trust networks. Class M dynamics with spectral concentration exceeding all null models.
Tumor metabolic scaling β ≈ 1.25 from 535 PET-CT scans. Exceeds geometric bounds on surface-limited growth mechanisms.
Coordination manifolds with d̂s ≈ 0.8–3.0 across 16,822 GitHub repositories. Critical slowing down at N ≈ 100–200.
Out-of-sample validation of Class M predictions. Unanimous classifier votes confirm multiplicative competition dynamics.
Pipeline
Additional papers covering spectral methods, diagnostic applications, and domain-specific analyses. Titles posted as submissions proceed. View all →