Evaluates composite weight function for knowledge graphs, highlighting the importance of decay, credibility, and confirmation.
Paper 5 in the Prioris research series. Evaluates the composite weight function w(e) = α_ℓ · μ_ℓ · κ_s · δ(t_e) · β(C_e) for knowledge graph edges. Analyzes temporal decay (exponential, hyperbolic, bounded exponential), source credibility via shrinkage estimation, and Dempster-Shafer inspired cross-source confirmation. Includes Monte Carlo simulation with 50,000 synthetic edges showing ranking stability (Kendall's τ > 0.91). Part of the Evidence-Graded Knowledge Graphs research programme (Paper 0: 10.5281/zenodo.19024611).
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Rogier Meulenaar (2026) studied this question.
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