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 models exhibiting an explosive’ transition. However, for percolation processes
exhibiting genuine discontinuities, the behavior is substantially richer. In
percolation models where the order parameter exhibits a staircase, the largest
discontinuity generically does not coincide with the percolation transition.
For the generalized Bohman-Frieze-Wormald model, it depends on the model
parameter. Distinct parameter regimes well in the supercritical regime feature
unstable discontinuous transitions, which is a novel and unexpected phenomenon
in percolation. We thus demonstrate that seemingly and genuinely discontinuous
percolation transitions can involve a rich behavior in supercriticality, a
regime that has been largely ignored in percolation.

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