null-models

A python3 module for maximum entropy models on networks.

Randomization of presence/absence species distribution raster data for calculating standardized effect sizes and testing null hypothesis.

Independent research software for data-free directed connectome-network methods. Contributions welcome.

Introduction to basic network measurements and working with null models in Networkx.

Null Models for Labeled Multi-graphs

Reference implementation for separating graph dependence from graph advantage in graph-ablation studies.

Calibration and falsification toolkit for AI claims: null models, evidence grades, claim boundaries and observer-aware workflow examples.

Reproducible structural benchmark of Voynich Manuscript regularities; no decipherment claim

MCMC algorithms to sample random bipartite graphs with given left and right degree sequences and BJDM.

Functions to perform the restricted null model described in Felix et al 2017 (DOI: 10.1101/236687).

Code for trait based simulations of network structure and case study

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.

Ten interpretable structural features per node, from the graph alone, with a measured applicability domain

Commented codes for the IHS model.

FlyLab is a provenance-first computational pharmacology workbench that maps typed receptor evidence onto named circuits in the adult Drosophila MaleCNS connectome and tests how strongly each model prediction depends on wiring, assumptions and evidence quality.

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).

Maximum entropy null models for bipartite networks

How to create randomized matrices in R for analyzing in Pajek.

Null-model test for modern mammal bioregionalization: β-sim dissimilarity, UPGMA clustering, and a curveball randomization null, validated end-to-end on synthetic data.