Conditionally Poissonian random digraphs
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Abstract
We define a Poissonian model of directed random graphs which generalises the undirected Poissonian random graph process introduced by Norros and Reittu in Adv.
Appl.
Probab.
38 (2006), 59--75.
Its loopless simple projection is a rank-one independent-arc inhomogeneous digraph of the type studied by Cao and Olvera-Cravioto, Random Struct.
Alg.
56 (2020), 722--774.
For the Poissonian multigraph itself, we discuss the relation to Norros-Reittu graphs, characterise limiting degree distributions, and record explicit exploration estimates.
In particular, we give fixed-depth directed local weak limits, stopped branching-process couplings with weight-mass collision budgets, a comparison with the simple projection, and a rare-event concentration criterion.
These estimates are intended as graph-side structural inputs for later dynamics on the graph.