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ngraph.leiden

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Leiden/Louvain community detection for ngraph.graph (JS)

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import { describe, it, expect } from 'vitest' import createGraph from 'ngraph.graph' import { detectClusters } from '../src/index.js' function makeWeightedSizeGraph() { // Two cliques of sizes 4 and 4 with one weak bridge; nodes in first clique have larger sizes. const g = createGraph() const A = [0,1,2,3], B = [4,5,6,7] A.concat(B).forEach(i => g.addNode(i, { size: A.includes(i) ? 5 : 1 })) for (let i = 0; i < A.length; i++) for (let j = i+1; j < A.length; j++) { g.addLink(A[i], A[j]); g.addLink(A[j], A[i]) } for (let i = 0; i < B.length; i++) for (let j = i+1; j < B.length; j++) { g.addLink(B[i], B[j]); g.addLink(B[j], B[i]) } g.addLink(3,4); g.addLink(4,3) return g } describe('CPM size-aware mode', () => { it('penalizes large-size communities more than unit mode', () => { const g = makeWeightedSizeGraph() const gamma = 0.5 const unit = detectClusters(g, { quality: 'cpm', cpmMode: 'unit', resolution: gamma, randomSeed: 3 }) const sized = detectClusters(g, { quality: 'cpm', cpmMode: 'size-aware', resolution: gamma, randomSeed: 3 }) // With size-aware penalty, quality should be lower or equal (more penalty) for the same partition expect(sized.quality()).toBeLessThanOrEqual(unit.quality()) // Both should still find 2 communities for this simple case const count = (cl) => new Set([0,1,2,3,4,5,6,7].map(i => cl.getClass(i))).size expect(count(unit)).toBe(2) expect(count(sized)).toBe(2) }) })