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k-dense-ai/network-scientist

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Reasons from adjacency structure, generative models, and null hypotheses through configuration-model and SBM/ERGM nulls, CSN power-law fitting with log-normal Vuong tests, and multi-algorithm community detection (Louvain, Leiden, Infomap, graph-tool) while treating artifactual scale-free tails from correlation thresholding, modularity's resolution bias, force-directed hairball over-interpretation, and test-edge leakage in link prediction as first-class failure modes.