Persistent homology centrality improves link prediction performance in Pubmed co-occurrence networks
Chase Alan Brown,
Jonathan D. Wren
Abstract:This paper provides a novel approach to understanding the nature of innovation and scientific progress by analyzing large-scale datasets of scientific literature. A new measure of novelty potential or disruptiveness for a set of scientific entities is proposed, based in the mathematical formalism of algebraic topology via a method called persistent homology. In this framework, understanding where academic ideas depart from the existing body of knowledge to fill knowledge gaps is key to scoring a set of entitie… Show more
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