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Found 6 papers, 0 papers with code
Signed graphs in data sciences via communicability geometry
Signed graphs are an emergent way of representing data in a variety of contexts were conflicting interactions exist.
Hubs-biased resistance distances on graphs and networks
We define the analogous of the Kirchhoff indices of the graph based of these resistance distances.
Spectral Theory 05C50, 05C82, 15A18, 47N50
Where to cut to delay a pandemic with minimum disruption? Mathematical analysis based on the SIS model
Using this approach we propose a strategy to remove edges in a network that significantly delays the propagation of a disease across the network with minimal disruption of its capacity to deliver goods/items/passengers.
Physics and Society Dynamical Systems 92D39, 05C82, 37N25
Fractional-order susceptible-infected model: definition and applications to the study of COVID-19 main protease
We find an upper bound to the analytical solution of this model which represents the worse-case scenario on the propagation of perturbations across a protein residue network.
Risk-dependent centrality in economic and financial networks
Node centrality is one of the most important and widely used concepts in the study of complex networks.
Random Multi-Hopper Model. Super-Fast Random Walks on Graphs
Stated differently, for small parameter values the multi-hopper explores a general graph as fast as possible when compared to a random walker on a full graph.
Physics and Society Statistical Mechanics Social and Information Networks Mathematical Physics Mathematical Physics Probability
