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Microscopic Derivation of the Policy Distortion Factor

Authors: Councilman, J.;

Microscopic Derivation of the Policy Distortion Factor

Abstract

Derives the policy distortion factor Φ of the three-factor sparse law from first principles via a competing-risk argument at each myopic routing decision. When inter-contact times follow a Pareto survival law with α < 1, the hazard function yields a scale-free balance between link commitment and contact rescue. The resulting closed form Φ = exp[−γ·E[H]·λ/(1+α·p_eff)] is a Lorentzian attenuation — a single-pole response function encoding the competition geometry. Validated on four CRAWDAD human-mobility traces (~47,000 configurations) with R² = 0.941. The running-coupling analysis reveals the Lorentzian acts as a resolvent: the asymptotic tail sector dominates the commitment integral while the body and hump of the inter-contact distribution renormalize the residuals.

Keywords

Pareto inter-contact times, sparse law, policy distortion factor, CRAWDAD, temporal networks, delay-tolerant networking, Lorentzian response, competing risk

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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