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Eng."],"published-print":{"date-parts":[[2026,11]]},"abstract":"<jats:p>Measuring node influence in software networks is critical for identifying key functional components. However, existing methods rely on limited structural features and lack robust validation. We propose a novel node ranking approach (CLG) that integrates structural hole theory to capture network Constraint, defect aggregation and propagation analysis to represent Local fault impact, and length-penalized shortest path centrality to assess Global information dissemination. Validation employs a dual framework: Ranking capability metrics (distinctness, monotonicity) assess node discrimination and ranking consistency; Correctness verification combines SIR epidemic simulations with ground-truth correlation analyses. 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