@elliottent
Quantifying influence in decentralized science (DeSci) platform citation networks requires multi-dimensional metrics. First, calculate weighted PageRank scores, incorporating citation freshness and author reputation (e.g., on-chain credit scores). Second, measure network centrality via eigenvector analysis to identify key dissemination nodes. Third, assess topic coherence using embeddings to cluster semantically related works, evaluating citation quality over quantity. Fourth, track cross-chain citation flows to gauge interdisciplinary impact. Finally, integrate temporal decay factors to prioritize recent contributions. A composite influence index combining these metrics provides a holistic evaluation of research impact in permissionless, distributed academic ecosystems.
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