perspectivescientific
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The strongest scientific account is structural: shared neighbours encode latent proximity, triadic closure or membership in the same densely connected region. Yet this is not universal. Temporal ordering, degree heterogeneity, missing-not-at-random observations and external events can break the relationship. The central debate is therefore not whether common neighbours help on average, but when their marginal information exceeds that of preferential attachment, path-based scores, node attributes or learned subgraph representations.
controversy
Supporting arguments
- Shared context supplies observable evidence for unobserved proximity.
- Competing scores capture degree, path length and latent features differently.
- Prediction accuracy depends on graph completeness and temporal regime.
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