Deepen structural graph analysis
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README.md
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README.md
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@ -78,9 +78,13 @@ The crate exposes `analyze(&graph)` for layout-independent structure reads:
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- weak components
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- strongly connected components
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- biconnected components
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- label-propagation communities
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- k-core shells
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- articulation points
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- bridge edges
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- per-node degree metrics
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- local clustering coefficients
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- edge roles
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- cyclic node flags
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@ -88,6 +92,9 @@ The crate exposes `analyze(&graph)` for layout-independent structure reads:
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- SCC cohesion folds cycles and tight feedback regions into local bodies.
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- weak component cohesion keeps broad regions visually legible.
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- community cohesion gives dense modules local territory.
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- k-core anchoring lets dense nuclei read differently from peripheral leaves.
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- local clustering cohesion tightens triangle-rich neighborhoods.
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- bridge hinges keep connector edges readable between bodies.
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- centrality anchoring keeps important nodes from drifting into decorative exile.
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- cycle folding uses depth so feedback does not have to lose every argument
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@ -107,10 +114,15 @@ for group in result.fold_groups {
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}
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```
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Fold groups currently cover weak components, strongly connected components, and
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cycle bodies. They are meant to be useful handles for Bevy interactions:
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collapse a component, pulse a cycle, dim a subtree, or unfold a dense region
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without asking the raw node soup for permission.
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Fold groups currently cover weak components, strongly connected components,
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biconnected components, communities, core shells, and cycle bodies. They are
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meant to be useful handles for Bevy interactions: collapse a component, pulse a
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cycle, dim a subtree, or unfold a dense region without asking the raw node soup
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for permission.
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See [RESEARCH.md](RESEARCH.md) for the paper trail and the next deeper cuts:
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multilevel coarsening, constrained stress, edge bundling, adaptive solvers, and
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layout memory.
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## Notes
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