Random walks on hypergraphs

Volume: 101, Issue: 2
Published: Feb 18, 2020
Abstract
In the past 20 years network science has proven its strength in modeling many real-world interacting systems as generic agents, the nodes, connected by pairwise edges. Nevertheless, in many relevant cases, interactions are not pairwise but involve larger sets of nodes at a time. These systems are thus better described in the framework of hypergraphs, whose hyperedges effectively account for multibody interactions. Here we propose and study a...
Paper Details
Title
Random walks on hypergraphs
Published Date
Feb 18, 2020
Volume
101
Issue
2
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