A python3 module for maximum entropy models on networks.
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Updated
Jul 8, 2026 - Python
A python3 module for maximum entropy models on networks.
Null Models for Labeled Multi-graphs
The methodology arm of the Arithmon program: how surprising is a claimed exact relation between mathematical invariants and measured physical constants? Frozen inputs deposited with a dated DOI, three expression grammars, four null models, calibration on historical verdicts, and a scorecard reusable on any framework.
Analysis of temporal fluctuations in Stack Overflow user activity to characterize interaction-network structure, test fluctuation-based null models, and infer candidate connections through lagged covariance and inverse-network methods, developed for HUJI’s Dynamics, Networks and Computation course (67562).
Per-sequence empirical null framework for DNA correlation analysis with mono- and dinucleotide shuffle calibration. Includes π-validation, six parallel correlation methods, and repeat-screening diagnostics.
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