Struct Analyzer 

pub struct Analyzer;

Implementations

impl Analyzer

pub fn god_nodes( &self, nodes: &[Node], edges: &[Edge], top_n: usize, ) -> Vec<Node>

pub fn surprising_connections( &self, edges: &[Edge], cross_language_suppression: bool, ) -> Vec<Edge>

pub fn suggest_questions(&self, nodes: &[Node], edges: &[Edge]) -> Vec<String>

pub fn cohesion_score( &self, _nodes: &[Node], edges: &[Edge], community_nodes: &[NodeId], ) -> f64

pub fn pagerank( &self, edges: &[Edge], damping: f64, max_iter: usize, ) -> HashMap<String, f64>

pub fn graph_diff(&self, old: &[Edge], new: &[Edge]) -> (Vec<Edge>, Vec<Edge>)

pub fn tarjan_scc(&self, edges: &[Edge]) -> Vec<Vec<String>>

pub fn bridge_edges(&self, nodes: &[Node], edges: &[Edge]) -> Vec<Edge>

pub fn topological_sort(&self, edges: &[Edge]) -> Vec<String>

pub fn analyze(&self, nodes: &[Node], edges: &[Edge]) -> Result<AnalysisResult>

pub fn find_similar( &self, edges: &[Edge], node_id: &str, top_n: usize, ) -> Vec<(String, f64)>

pub fn compute_temporal_risk( &self, nodes: &mut [Node], edges: &[Edge], ) -> Result<()>

Compute temporal risk for file nodes based on git history.

For each file node, the risk score is: risk_score = churn_rate * degree_centrality * community_bridge_factor where:

• churn_rate: number of commits that touched the file (git rev-list --count HEAD -- <file>)
• degree_centrality: number of edges connected to the node
• community_bridge_factor: 1.0 + number of bridge edges the node participates in