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rUv
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The Rust port lived two directories deep (rust-port/wifi-densepose-rs/) without any sibling under rust-port/ that warranted the extra level. Move the whole workspace up to v2/ to match v1/ (Python) at the same depth and shorten every cd / build command across the repo. git mv preserves history for all tracked files. 60 files updated for path references (CI workflows, ADRs, docs, scripts, READMEs, internal .claude-flow state). Two manual fixes for relative-cd paths in CLAUDE.md and ADR-043 that became wrong after the depth change (cd ../.. → cd ..). Validated: - cargo check --workspace --no-default-features → clean (after target/ nuke; the gitignored target/ was carried by the OS rename and had hard-coded old paths in build scripts) - cargo test --workspace --no-default-features → 1,539 passed, 0 failed, 8 ignored (same totals as pre-rename) - ESP32-S3 on COM7 → still streaming live CSI (cb #40300, RSSI -64 dBm) After-merge follow-up: contributors should `rm -rf v2/target` once and let cargo regenerate from the new path.
84 lines
3.3 KiB
Markdown
84 lines
3.3 KiB
Markdown
# ruv-neural-graph
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Brain connectivity graph construction from neural signals with graph-theoretic
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analysis and spectral properties.
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## Overview
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`ruv-neural-graph` builds brain connectivity graphs from multi-channel neural
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time series data and connectivity matrices. It provides graph-theoretic metrics
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(efficiency, clustering, centrality), spectral graph properties (Laplacian,
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Fiedler value), brain atlas definitions, petgraph interoperability, and temporal
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dynamics tracking for brain topology research.
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## Features
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- **Graph construction** (`constructor`): Build `BrainGraph` instances from
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connectivity matrices and multi-channel time series data via `BrainGraphConstructor`
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- **Brain atlases** (`atlas`): Built-in Desikan-Killiany 68-region atlas with
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support for loading custom atlas definitions
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- **Graph metrics** (`metrics`): Global efficiency, local efficiency, clustering
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coefficient, betweenness centrality, degree distribution, modularity,
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graph density, small-world index
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- **Spectral analysis** (`spectral`): Graph Laplacian, normalized Laplacian,
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Fiedler value (algebraic connectivity), spectral gap
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- **Petgraph bridge** (`petgraph_bridge`): Bidirectional conversion between
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`BrainGraph` and petgraph `Graph` types
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- **Temporal dynamics** (`dynamics`): `TopologyTracker` for monitoring graph
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property evolution over time
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## Usage
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```rust
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use ruv_neural_graph::{
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BrainGraphConstructor, load_atlas, AtlasType,
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global_efficiency, clustering_coefficient, modularity,
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fiedler_value, graph_laplacian,
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to_petgraph, from_petgraph,
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TopologyTracker,
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};
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// Construct a brain graph from a connectivity matrix
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let constructor = BrainGraphConstructor::new();
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let graph = constructor.from_matrix(&connectivity_matrix, 0.3, atlas)?;
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// Compute graph-theoretic metrics
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let efficiency = global_efficiency(&graph);
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let clustering = clustering_coefficient(&graph);
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let mod_score = modularity(&graph);
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// Spectral properties
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let laplacian = graph_laplacian(&graph);
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let fiedler = fiedler_value(&graph);
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// Convert to petgraph for additional algorithms
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let pg = to_petgraph(&graph);
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let brain_graph = from_petgraph(&pg);
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// Track topology over time
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let mut tracker = TopologyTracker::new();
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tracker.update(&graph);
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```
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## API Reference
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| Module | Key Types / Functions |
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|-------------------|-------------------------------------------------------------------|
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| `constructor` | `BrainGraphConstructor` |
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| `atlas` | `load_atlas`, `AtlasType` |
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| `metrics` | `global_efficiency`, `local_efficiency`, `clustering_coefficient`, `betweenness_centrality`, `modularity`, `small_world_index` |
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| `spectral` | `graph_laplacian`, `normalized_laplacian`, `fiedler_value`, `spectral_gap` |
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| `petgraph_bridge` | `to_petgraph`, `from_petgraph` |
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| `dynamics` | `TopologyTracker` |
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## Integration
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Depends on `ruv-neural-core` for `BrainGraph` and atlas types, and on
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`ruv-neural-signal` for connectivity computation. Feeds graphs into
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`ruv-neural-mincut` for topology partitioning and into `ruv-neural-viz`
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for visualization. Uses `petgraph` for underlying graph data structures.
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## License
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MIT OR Apache-2.0
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