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Understanding networks and their behaviors using sheaf theory

2013/08/21 by Michael Robinson, Robinson, Michael · 1 citation
Computer Science · Mathematics · #Topological and Geometric Data Analysis #Homotopy and Cohomology in Algebraic Topology #Advanced Graph Neural Networks

paper · pdf · doi:10.48550/arxiv.1308.4621

Abstract

Many complicated network problems can be easily understood on small networks. Difficulties arise when small networks are combined into larger ones. Fortunately, the mathematical theory of sheaves was constructed to address just this kind of situation; it extends locally-defined structures to globally valid inferences by way of consistency relations. This paper exhibits examples in network monitoring and filter hardware where sheaves have useful descriptive power.

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