The power-law exponent of a growing hypergraph's degree distribution depends only on the average ratio of new nodes to hyperedge size, and preferential attachment monotonically raises the simplicial fraction up to the gelation transition.
Counting simplicial pairs in hypergraphs
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abstract
We present two ways to measure the simplicial nature of a hypergraph: the simplicial ratio and the simplicial matrix. We show that the simplicial ratio captures the frequency, as well as the rarity, of simplicial interactions in a hypergraph while the simplicial matrix provides more fine-grained details. We then compute the simplicial ratio, as well as the simplicial matrix, for 10 real-world hypergraphs and, from the data collected, hypothesize that simplicial interactions are more and more deliberate as edge size increases. We then present a new Chung-Lu model that includes a parameter controlling (in expectation) the frequency of simplicial interactions. We use this new model, as well as the real-world hypergraphs, to show that multiple stochastic processes exhibit different behaviour when performed on simplicial hypergraphs vs. non-simplicial hypergraphs.
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Preferential Attachment as a Simpliciality-Enforcing Mechanism in Hypergraphs
The power-law exponent of a growing hypergraph's degree distribution depends only on the average ratio of new nodes to hyperedge size, and preferential attachment monotonically raises the simplicial fraction up to the gelation transition.