Struct EigenvectorScores 

pub struct EigenvectorScores {
    pub vector: Vec<f64>,
    pub eigenvalue: f64,
}

Output of eigenvector_centrality_full: the normalised centrality vector and the dominant eigenvalue of the (possibly shifted-back) adjacency matrix.

Fields

vector: Vec<f64>

Centrality per vertex, length vcount(). Max-absolute element is exactly 1.0 (matching python-igraph), unless all entries are zero (empty / DAG / all-zero-weight sentinels).

eigenvalue: f64

Largest-real-part eigenvalue of the adjacency / weighted adjacency matrix. 0.0 for the empty-edge, all-zero-weight, and DAG sentinel cases.

Trait Implementations

impl Clone for EigenvectorScores

fn clone(&self) -> EigenvectorScores

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for EigenvectorScores

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

Formats the value using the given formatter.

impl PartialEq for EigenvectorScores

fn eq(&self, other: &EigenvectorScores) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for EigenvectorScores