A note on the random triadic process
Fang Tian, Yiting Yang

TL;DR
This paper analyzes the size of the random r-generalized triadic process, showing it behaves like a Erdős–Rényi graph under certain conditions and providing bounds on the number of edges added.
Contribution
It extends previous work on the triadic process by examining the process for general r and establishing its asymptotic behavior in a new probabilistic regime.
Findings
Graph size approximates n^2p with high probability
Process behaves like G(n,p) under specified p conditions
Final edge count is n^2p(1 o(1)) when p=n^{-2}
Abstract
For a fixed integer , let be a random -uniform hypergraph on the vertex set , where each -set is an edge randomly and independently with probability . The random -generalized triadic process starts with a complete bipartite graph on the same vertex set, chooses two distinct vertices and uniformly at random and iteratively adds as an edge if there is a subset with size , denoted as , such that and for are already edges in the graph and is an edge in . The random triadic process is an abbreviation for the random -generalized triadic process. Kor\'{a}ndi et al. proved a sharp threshold probability for the propagation of the random triadic process, that is, if $p= cn^{ -…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Complex Network Analysis Techniques · Markov Chains and Monte Carlo Methods
