Enum GraphAnalyticsAggregate 

pub enum GraphAnalyticsAggregate {
    PageRank {
        damping: f64,
        iterations: usize,
    },
    BetweennessCentrality {
        normalized: bool,
    },
    ConnectedComponent,
    ClusteringCoefficient,
    DegreeCentrality {
        direction: DegreeDirection,
    },
}

Which graph-analytics metric to compute at finalization time.

All variants operate over the directed edge set accumulated by GraphAnalyticsAccumulator.

Variants

PageRank

PageRank with configurable damping factor and iteration cap.

damping is clamped to [0.0, 1.0]. iterations is the maximum number of power-iteration steps (convergence can terminate earlier).

Fields

damping: f64

Damping factor d in the PageRank formula (typical default: 0.85).

iterations: usize

Maximum number of power-iteration steps.

BetweennessCentrality

Betweenness centrality via Brandes’ O(VE) BFS algorithm.

Fields

normalized: bool

When true scores are divided by (n-1)(n-2) for directed graphs.

ConnectedComponent

Weakly-connected component ID for each node.

IDs are 0-based integers converted to f64, stable within a single finalize() call but not across separate calls.

ClusteringCoefficient

Local clustering coefficient for each node.

Treats the graph as undirected (unions out- and in-neighbours). For a node with fewer than two neighbours the coefficient is 0.0.

DegreeCentrality

Degree centrality — normalised edge count per node.

Fields

direction: DegreeDirection

Which edge direction to count.

Trait Implementations

impl Clone for GraphAnalyticsAggregate

fn clone(&self) -> GraphAnalyticsAggregate

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GraphAnalyticsAggregate

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

Formats the value using the given formatter.