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ITT-PoC: Empirical Validation Suite for Informational Tension Theory

Authors: Grego, Matheus;

ITT-PoC: Empirical Validation Suite for Informational Tension Theory

Abstract

ITT-PoC v1.0.0 Empirical validation suite for Informational Tension Theory (ITT). This release validates key theorems across two domains: Software (GitHub/Marak incident) and Ecology (Dryad plant-pollinator network). The central finding is the "Sniper Effect"—detecting low-degree actors through entropic signatures when traditional centrality measures fail. Highlights: Cross-domain validation (Theorem 5.3) Robust estimation using MAD and JSD metrics Publication-ready figure generation See README.md for usage instructions.

Keywords

Informational Tension Theory, Network Science, Software Supply Chain Security, Cross-Domain Validation, Graph Anomaly Detection

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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!
0
Average
Average
Average