Unstable supercritical discontinuous percolation transitions
Wei Chen, Xueqi Cheng, Zhiming Zheng, Ning Ning Chung, Raissa, M.D'Souza, Jan Nagler

TL;DR
This paper investigates the nature of discontinuous percolation transitions in random networks, revealing complex behaviors such as unstable jumps and the non-coincidence of the largest jump with the percolation threshold, especially in genuinely discontinuous models.
Contribution
It uncovers the rich supercritical behavior of genuinely discontinuous percolation transitions, including unstable jumps and parameter-dependent phenomena, expanding understanding beyond classical models.
Findings
Largest jump coincides with percolation threshold in continuous models
Genuinely discontinuous models show non-coincidence and unstable transitions
Supercritical regime exhibits complex, rich behaviors
Abstract
The location and nature of the percolation transition in random networks is a subject of intense interest. Recently, a series of graph evolution processes have been introduced that lead to discontinuous percolation transitions where the addition of a single edge causes the size of the largest component to exhibit a significant macroscopic jump in the thermodynamic limit. These processes can have additional exotic behaviors, such as displaying a `Devil's staircase' of discrete jumps in the supercritical regime. Here we investigate whether the location of the largest jump coincides with the percolation threshold for a range of processes, such as Erdos-Renyi percolation, percolation via edge competition and via growth by overtaking. We find that the largest jump asymptotically occurs at the percolation transition for Erdos-Renyi and other processes exhibiting global continuity, including…
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.
