Struct EigenvectorCentralityResult 

pub struct EigenvectorCentralityResult {
    pub scores: HashMap<EntityId, f64>,
    pub iterations: usize,
    pub converged: bool,
    pub final_delta: f64,
}

Result of Eigenvector Centrality computation.

Fields

scores: HashMap<EntityId, f64>

Eigenvector centrality scores for each node.

iterations: usize

Number of iterations performed.

converged: bool

Whether the algorithm converged within tolerance.

final_delta: f64

Final convergence delta (max change in last iteration).

Implementations

impl EigenvectorCentralityResult

pub fn score(&self, node: EntityId) -> Option<f64>

Get the eigenvector centrality score for a specific node.

pub fn sorted(&self) -> Vec<(EntityId, f64)>

Get nodes sorted by eigenvector centrality (descending).

pub fn top_n(&self, n: usize) -> Vec<(EntityId, f64)>

Get the top N nodes by eigenvector centrality.

pub fn max(&self) -> Option<(EntityId, f64)>

Get the node with the highest eigenvector centrality.

pub fn min(&self) -> Option<(EntityId, f64)>

Get the node with the lowest eigenvector centrality.

pub fn mean(&self) -> f64

Get the mean eigenvector centrality.

Trait Implementations

impl Clone for EigenvectorCentralityResult

fn clone(&self) -> EigenvectorCentralityResult

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for EigenvectorCentralityResult

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.