erpc_analysis::algorithms::centrality

Struct CentralityAnalyzer

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pub struct CentralityAnalyzer { /* private fields */ }

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impl CentralityAnalyzer

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pub fn new(db_client: Arc<dyn AnalysisDatabase>) -> Self

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pub async fn analyze_betweenness_centrality( &self, projection_name: &str, sampling_size: Option<usize>, sampling_seed: Option<u64>, ) -> Result<CentralityAnalysisResult, AnalysisError>

Analyze betweenness centrality for a given projection

Betweenness centrality measures how often a node lies on the shortest path between two other nodes. High betweenness centrality indicates nodes that serve as bridges or bottlenecks in the network.

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pub async fn analyze_closeness_centrality( &self, projection_name: &str, use_wasserman_faust: Option<bool>, ) -> Result<CentralityAnalysisResult, AnalysisError>

Analyze closeness centrality for a given projection

Closeness centrality measures how close a node is to all other nodes in the network. High closeness centrality indicates nodes that can quickly reach all other nodes.

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pub async fn analyze_combined_centrality( &self, projection_name: &str, betweenness_sampling_size: Option<usize>, betweenness_sampling_seed: Option<u64>, use_wasserman_faust: Option<bool>, ) -> Result<CentralityAnalysisResult, AnalysisError>

Analyze both betweenness and closeness centrality in a single operation

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pub fn display_centrality_results( &self, result: &CentralityAnalysisResult, centrality_type: &str, config: &AnalysisSettings, )

Display detailed centrality analysis results

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