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Found 4 papers, 1 papers with code
Equivalence between the Fitness-Complexity and the Sinkhorn-Knopp algorithms
We uncover the connection between the Fitness-Complexity algorithm, developed in the economic complexity field, and the Sinkhorn-Knopp algorithm, widely used in diverse domains ranging from computer science and mathematics to economics.
Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data
Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a scientific paper or a patent.
Recommending investors for new startups by integrating network diffusion and investors' domain preference
Over the past decade, many startups have sprung up, which create a huge demand for financial support from venture investors.
Influencers identification in complex networks through reaction-diffusion dynamics
Here, we leverage the recently introduced random-walk effective distance -- a topological metric that estimates almost perfectly the arrival time of diffusive spreading processes on networks -- to introduce a new centrality metric which quantifies how close a node is to the other nodes.
Physics and Society Social and Information Networks
