null op• Datenarten: matrix → table
• Aufruf: import fullseye as fs; fs.ledger.graph_degree_preserving_null(adj, n_samples=20, swaps_per_edge=5, seed=0) (die Implementierung direkt: import graphinv; graphinv.graph_degree_preserving_null(adj, n_samples=20, swaps_per_edge=5, seed=0); aus dem Register: opsgraph.get("graph_degree_preserving_null"))
> Für diesen Operator gibt es noch keine Übersetzung. Es folgt der Originaltext unverändert.
Compare 3-cycles and reciprocity against a degree-preserving null model.
Each null sample rewires the graph by `swaps_per_edge * |E|` edge swaps that keep
every node's in- and out-degree exactly (Maslov & Sneppen 2002). The sample's
degree sequences are checked against the original before it is used — a null that
drifted would make every ratio a lie, so this fails closed.
Returns a dict with the observed `cycles3 and reciprocal_pairs`, the null
`*_null_mean / *_null_sd, the *_ratio (observed / null mean) and *_z`,
plus `n_samples and swaps`. Ratios are what let graphs of different size be
compared; raw counts cannot.
Raises `ValueError: as :func:graph_degree_summary; n_samples < 2`
(no spread to estimate); `swaps_per_edge < 1`; a graph with fewer than 2 edges
(nothing to swap).
• Katalog der Beispieldaten (Download-URLs / Lizenzen) — 2-D nutzt skimage.data (BSD/Public Domain) plus synthetische Bilder, 3-D nennt Download-URLs echter Datenquellen (Stanford, PDS, …).
• Herkunft und Literatur der Operatoren — die Quellen der Forschung/Verfahren, auf denen diese Operatorfamilie beruht.
• Der kanonische Algorithmus (Autor, Jahr) und seine Anwendungen stehen im Familienleitfaden oben.
• graphinv_three_phyla — py -3.11 examples/graphinv_three_phyla.py
table als Eingabe)graph_edge_consensus · graph_core_persistence · tree_morphometry · tree_sholl · tree_run_length
null)—
*Provenance: graphinv.py — GRAPH Operator-Registry. Diese Notiz wird von tools/opdocs.py md erzeugt (nicht von Hand bearbeiten).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.