reddb_server::storage::engine::algorithms

Struct Louvain

pub struct Louvain {
    pub resolution: f64,
    pub max_iterations: usize,
    pub min_improvement: f64,
}

Expand description

Louvain algorithm for community detection

A greedy algorithm that optimizes modularity - a measure of how well the network is partitioned into communities where nodes are densely connected within communities but sparsely between them.

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§resolution: f64

Resolution parameter (higher = smaller communities)

§max_iterations: usize

Maximum iterations per phase

§min_improvement: f64

Minimum modularity improvement to continue

Implementations§

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impl Louvain

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pub fn new() -> Self

Create new Louvain with default parameters

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pub fn resolution(self, resolution: f64) -> Self

Set resolution parameter (default: 1.0)

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pub fn max_iterations(self, max: usize) -> Self

Set maximum iterations per phase (default: 10)

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pub fn run(&self, graph: &GraphStore) -> LouvainResult

Run Louvain community detection (treats graph as undirected)

Trait Implementations§

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impl Default for Louvain

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fn default() -> Self

Returns the “default value” for a type. Read more

Auto Trait Implementations§

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impl UnwindSafe for Louvain

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impl<T> Any for T
where T: 'static + ?Sized,

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where T: ?Sized,

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fn borrow(&self) -> &T

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impl<T> BorrowMut<T> for T
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fn borrow_mut(&mut self) -> &mut T

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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fn instrument(self, span: Span) -> Instrumented<Self>

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impl<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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