docs(analysis/bottlenecks): mark task as completed
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---
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id: analysis/bottlenecks
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name: Implement bottlenecks analysis function
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status: pending
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status: completed
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depends_on:
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- graph/construction
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- graph/queries
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@@ -17,12 +17,12 @@ Implement `bottlenecks(graph: TaskGraph): Array<{ taskId: string; score: number
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## Acceptance Criteria
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- [ ] `bottlenecks` returns array of `{ taskId, score }` objects sorted by score descending
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- [ ] Uses `graphology-metrics` betweenness centrality computation
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- [ ] Normalized scores (0.0–1.0 range)
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- [ ] Tasks with score 0 are still included (they're not bottlenecks)
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- [ ] Works on disconnected graphs (betweenness is 0 for disconnected components)
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- [ ] Unit tests: linear chain (middle node has highest betweenness), star graph (center has highest), independent nodes (all zero)
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- [x] `bottlenecks` returns array of `{ taskId, score }` objects sorted by score descending
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- [x] Uses `graphology-metrics` betweenness centrality computation
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- [x] Normalized scores (0.0–1.0 range)
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- [x] Tasks with score 0 are still included (they're not bottlenecks)
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- [x] Works on disconnected graphs (betweenness is 0 for disconnected components)
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- [x] Unit tests: linear chain (middle node has highest betweenness), star graph (center has highest), independent nodes (all zero)
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## References
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@@ -31,8 +31,11 @@ Implement `bottlenecks(graph: TaskGraph): Array<{ taskId: string; score: number
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## Notes
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> To be filled by implementation agent
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Graphology-metrics betweenness centrality throws on empty graphs (mnemonist FixedStack requires positive capacity). Handled by returning empty array when `graph.raw.order === 0`.
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## Summary
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> To be filled on completion
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Implemented `bottlenecks(graph: TaskGraph): BottleneckResult[]` using `graphology-metrics` betweenness centrality with `normalized: true`.
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- Created: `src/analysis/bottleneck.ts` (bottlenecks function + BottleneckResult interface)
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- Modified: `test/analysis.test.ts` (replaced placeholder with 20 tests covering all acceptance criteria)
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- Tests: 20, all passing (linear chain, star graph, independent nodes, disconnected graph, diamond, empty graph, single node, sorted output, normalized scores)
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