Clusters phase A: community detection core (Louvain, seeded, structural)

detectCommunities(nodes, edges) in src/core/clusters.ts (new dep
graphology-communities-louvain): Louvain modularity over the undirected,
unweighted follows+supports structure (user-decided 2026-09-13). The
random-walk traversal runs on an inlined seeded mulberry32 so the same
graph always yields the same partition; community indices are still
unstable across edits, which is exactly why labelings (phase B) key to
sorted MEMBER SETS. follows+supports between the same pair collapse to
one edge; self-loops and dangling edges are skipped defensively; no
min-size filter here (the >=3 render threshold is a presentation rule).

Tests: two-cliques-plus-bridge split, determinism, singleton/empty
graphs, pair collapse, defensive skips, member sorting. 363/363.

Real-data smoke over the current notes graph: 338 nodes / 211 edges ->
138 communities, modularity 0.95, and the big ones are exactly the
learn-session topics (databases, differential forms, sales, servers,
vim, copulas...). 32 communities clear the >=3 render threshold.
This commit is contained in:
amosblomqvist
2026-09-13 03:46:24 +03:00
parent b4245a209d
commit 95a4477283
5 changed files with 276 additions and 0 deletions
+53
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@@ -26,6 +26,7 @@
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"katex": "^0.16.47",
"linkedom": "^0.18.13",
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+1
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@@ -31,6 +31,7 @@
"cmdk": "^1.1.1",
"embla-carousel-react": "^8.6.0",
"graphology": "^0.26.0",
"graphology-communities-louvain": "^2.0.2",
"graphology-layout-forceatlas2": "^0.10.1",
"katex": "^0.16.47",
"linkedom": "^0.18.13",
+118
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@@ -0,0 +1,118 @@
/**
* COMMUNITY DETECTION for the knowledge graph (vision §1, DECIDED
* 2026-09-13): Louvain modularity over the undirected, unweighted
* follows+supports structure — purely structural, so it never depends on
* layout, and the extraction pipeline never knows clusters exist.
*
* Determinism: Louvain's random-walk traversal is driven by a SEEDED
* mulberry32 RNG (default seed constant below), so the same graph always
* yields the same partition. Community INDICES are still not stable
* across graph edits — which is why labelings (Phase B) key to sorted
* MEMBER SETS, never to indices.
*
* Undirected + unweighted (user-decided 2026-09-13): both edge types are
* equally real relations between propositions — direction is
* derivational-vs-grounding, not stronger-vs-weaker — and a follows AND
* a supports between the same pair collapse to one edge.
*
* This module is browser-safe pure logic (no node builtins, no fs): the
* server runs it for the snapshot payload, the renderer for nothing
* (clusters arrive precomputed), and tests run it directly.
*
* NOTE: no minimum-size filter here — detection returns every community,
* singletons included. The ≥3-node render threshold (decided) is a
* PRESENTATION rule; it lives in the payload derivation and the
* renderer, not in the algorithm.
*/
import Graph from "graphology";
import louvain from "graphology-communities-louvain";
/** A detected community. Members are SORTED node ids — the member set IS
* the identity a labeling record can outlive a reshuffle with. */
export interface Community {
members: string[];
}
export interface CommunityDetection {
communities: Community[];
/** Modularity of the found partition — the one quality number. */
modularity: number;
}
export interface DetectOptions {
/** Louvain resolution (higher → more, smaller communities). Default 1.
* Parked for the multi-scale work; exposed now so that dial has a home. */
resolution?: number;
/** RNG seed. Default "lh-clusters". Same seed + same graph → same
* partition, always. */
seed?: string;
}
/** mulberry32 seeded by a string (FNV-1a) — the same recipe as
* question-core's seededRandom, inlined so this module has no
* cross-domain dependency. */
function seededRng(seed: string): () => number {
let h = 2166136261;
for (let i = 0; i < seed.length; i++) {
h ^= seed.charCodeAt(i);
h = Math.imul(h, 16777619);
}
let a = h >>> 0;
return () => {
a |= 0;
a = (a + 0x6d2b79f5) | 0;
let t = Math.imul(a ^ (a >>> 15), 1 | a);
t = (t + Math.imul(t ^ (t >>> 7), 61 | t)) ^ t;
return ((t ^ (t >>> 14)) >>> 0) / 4294967296;
};
}
/**
* Detect communities over a graph's structure. Inputs are the minimal
* structural shapes of the snapshot contracts (GraphNode.id,
* GraphEdge.from/to), so both the real snapshot and test fixtures feed it.
*
* Edges referencing unknown node ids are skipped defensively (the ledgers
* are append-only; a mid-merge read should never crash detection), and
* duplicate pairs (follows+supports, or reverse direction) collapse —
* mergeEdge keeps the first.
*/
export function detectCommunities(
nodes: readonly { id: string }[],
edges: readonly { from: string; to: string }[],
opts?: DetectOptions,
): CommunityDetection {
const graph = new Graph({ type: "undirected" });
for (const node of nodes) graph.addNode(node.id);
for (const edge of edges) {
if (!graph.hasNode(edge.from) || !graph.hasNode(edge.to)) continue;
if (edge.from === edge.to) continue; // self-loops: no community signal
graph.mergeEdge(edge.from, edge.to);
}
// Louvain on a 0-edge graph is degenerate; every node is trivially its
// own community (and louvain on an empty graph returns nothing useful).
if (graph.size === 0) {
return {
communities: nodes.map((n) => ({ members: [n.id] })).sort((a, b) => (a.members[0] ?? "").localeCompare(b.members[0] ?? "")),
modularity: 0,
};
}
const details = louvain.detailed(graph, {
rng: seededRng(opts?.seed ?? "lh-clusters"),
resolution: opts?.resolution ?? 1,
});
const byIndex = new Map<number, string[]>();
for (const [id, index] of Object.entries(details.communities)) {
const bucket = byIndex.get(index) ?? [];
bucket.push(id);
byIndex.set(index, bucket);
}
const communities = [...byIndex.values()]
.map((ids) => ({ members: ids.sort() }))
.sort(
(a, b) =>
b.members.length - a.members.length ||
(a.members[0] ?? "").localeCompare(b.members[0] ?? ""),
);
return { communities, modularity: details.modularity };
}
+1
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@@ -19,6 +19,7 @@ export * from "./contracts.ts";
export * from "./ports.ts";
export * from "./question-core.ts";
export * from "./clusters.ts";
export * from "./plan-tree.ts";
export * from "./phases.ts";
export * from "./pending.ts";
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@@ -0,0 +1,103 @@
/**
* Community detection tests (vision §1, DECIDED 2026-09-13) — pure
* structural Louvain over follows+supports, deterministic via seed.
* Assertions are on SHAPE and MEMBER SETS, never community indices
* (indices reshuffle; member sets are what labelings key to).
*/
import { strict as assert } from "node:assert";
import { describe, test } from "node:test";
import { detectCommunities } from "../src/core/clusters.ts";
import type { Community } from "../src/core/clusters.ts";
const ids = (n: number, prefix = "n") => [...Array(n).keys()].map((i) => `${prefix}${i}`);
/** A clique on the given ids. */
const clique = (nodeIds: string[]) =>
nodeIds.flatMap((a, i) => nodeIds.slice(i + 1).map((b) => ({ from: a, to: b })));
describe("detectCommunities", () => {
test("two dense cliques joined by a single bridge split into two communities", () => {
const left = ids(4, "L");
const right = ids(4, "R");
const bridge = { from: "L0", to: "R0" };
const result = detectCommunities([...left, ...right].map((id) => ({ id })), [...clique(left), ...clique(right), bridge]);
assert.equal(result.communities.length, 2);
assert.equal(result.modularity > 0.3, true);
// Member sets, not order: the two big communities are exactly the cliques.
const big = result.communities.filter((c) => c.members.length === 4);
assert.deepEqual(big.map((c) => c.members.sort()).sort(), [left.slice().sort(), right.slice().sort()]);
});
test("deterministic: same graph, same seed → identical partition", () => {
const nodes = ids(10).map((id) => ({ id }));
const edges = [...clique(ids(5)), ...clique(ids(5, "n").slice().reverse().slice(0, 5)), { from: "n0", to: "n9" }];
const a = detectCommunities(nodes, edges);
const b = detectCommunities(nodes, edges);
assert.deepEqual(a.communities, b.communities);
assert.equal(a.modularity, b.modularity);
});
test("no edges: every node is its own singleton community", () => {
const result = detectCommunities(ids(3).map((id) => ({ id })), []);
assert.equal(result.communities.length, 3);
for (const c of result.communities) assert.equal(c.members.length, 1);
assert.equal(result.modularity, 0);
});
test("empty graph: zero communities", () => {
assert.deepEqual(detectCommunities([], []), { communities: [], modularity: 0 });
});
test("duplicate and reversed pairs collapse to one edge (undirected, unweighted)", () => {
const nodes = ["a", "b", "c"].map((id) => ({ id }));
// follows a→b AND supports b→a — same pair twice, both directions.
const result = detectCommunities(nodes, [
{ from: "a", to: "b" },
{ from: "b", to: "a" },
{ from: "b", to: "c" },
]);
assert.equal(result.communities.length, 1);
assert.deepEqual(result.communities[0].members.sort(), ["a", "b", "c"]);
});
test("self-loops and unknown-endpoint edges are skipped defensively", () => {
const nodes = ["a", "b"].map((id) => ({ id }));
const result = detectCommunities(nodes, [
{ from: "a", to: "a" }, // self-loop
{ from: "a", to: "ghost" }, // dangling
{ from: "ghost1", to: "ghost2" },
{ from: "a", to: "b" }, // the one real edge
]);
assert.equal(result.communities.length, 1);
assert.deepEqual(result.communities[0].members.sort(), ["a", "b"]);
});
test("members are sorted; communities ordered by size then id", () => {
const left = ids(4, "L");
const right = ids(4, "R");
const result = detectCommunities(
[...left, ...right, "iso"].map((id) => ({ id })),
[...clique(left), ...clique(right), { from: "L0", to: "R0" }],
);
for (const c of result.communities as Community[]) {
const sorted = c.members.slice().sort();
assert.deepEqual(c.members, sorted);
}
// iso (isolated) is last: size 1 < 4.
const last = result.communities[result.communities.length - 1];
assert.deepEqual(last.members, ["iso"]);
});
test("seed override changes nothing structurally but stays deterministic", () => {
const nodes = ids(8).map((id) => ({ id }));
const edges = [...clique(["n0", "n1", "n2", "n3"]), ...clique(["n4", "n5", "n6", "n7"]), { from: "n0", to: "n4" }];
const a = detectCommunities(nodes, edges, { seed: "one" });
const b = detectCommunities(nodes, edges, { seed: "one" });
const c = detectCommunities(nodes, edges, { seed: "two" });
assert.deepEqual(a.communities, b.communities);
// A different seed partitions the same graph into member sets that
// may or may not coincide — but both runs are 2 communities here,
// because the structure dominates.
assert.equal(c.communities.length, 2);
});
});