fullseye

graph_strength_growth — GRAPH population op

• データ種: matrix × matrix → table
• 呼び出し: import fullseye as fs; fs.ledger.graph_strength_growth(a, b, hub_fraction=0.1) (実装を直接呼ぶなら import graphinv; graphinv.graph_strength_growth(a, b, hub_fraction=0.1)、台帳から引くなら opsgraph.get("graph_strength_growth"))

使い方

Where the new synapses went — one wiring matrix a (earlier) against b (later).

Both are weight matrices (synapse counts) on the same node order; self-loops are dropped. With S = sum of each matrix and dS = S_b - S_a:

• per node: in_a, out_a, in_b, out_b (strengths), degree_a (number of partners, in + out, presence > 0), gain_in = in_b - in_a, gain_out. Identity: gain_in.sum() == gain_out.sum() == dS (every synapse has one pre and one post).
• strengthened / weakened (weight change on edges present in both), added (weight of edges only in b), lost (weight of edges only in a); strengthened - weakened + added - lost == dS.
• rho_in / rho_out — Spearman rank correlation of degree_a with gain_in / gain_out over nodes with degree_a > 0 (0.0 with fewer than 3 such nodes or no variance); n_ranked.
• hubs = the top hub_fraction of ranked nodes by degree_a (at least 1): hub_share_in_a (their share of S_a as post-synaptic partners), hub_share_gain_in (their share of dS arriving as inputs), and the same for outputs. If new synapses were spread in proportion to existing strength, the two shares would be equal — the gap is what “hubs grow disproportionately” means in numbers.

Raises ValueError: either matrix not square / non-finite / negative / a string or masked array; shapes differ; hub_fraction outside (0, 1]; dS == 0 is allowed (shares of the gain are then 0).

参考(サンプルデータ・文献)

• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。
• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• poc_worm_synapses_vs_neurites — py -3.11 examples/poc_worm_synapses_vs_neurites.py

型が繋がる次の op(table を入力に取れる)

graph_edge_consensus · graph_core_persistence · tree_morphometry · tree_sholl · tree_run_length

同カテゴリ(population)

graph_edge_consensus · graph_core_persistence

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Provenance: graphinv.py — GRAPH operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.

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