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Connectivity of a general class of inhomogeneous random digraphs
Author(s) -
Cao Junyu,
OlveraCravioto Mariana
Publication year - 2020
Publication title -
random structures and algorithms
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.314
H-Index - 69
eISSN - 1098-2418
pISSN - 1042-9832
DOI - 10.1002/rsa.20892
Subject(s) - mathematics , random graph , combinatorics , degree distribution , joint probability distribution , vertex (graph theory) , random regular graph , giant component , discrete mathematics , limiting , graph , chordal graph , 1 planar graph , complex network , statistics , mechanical engineering , engineering
We study a family of directed random graphs whose arcs are sampled independently of each other, and are present in the graph with a probability that depends on the attributes of the vertices involved. In particular, this family of models includes as special cases the directed versions of the Erdős‐Rényi model, graphs with given expected degrees, the generalized random graph, and the Poissonian random graph. We establish a phase transition for the existence of a giant strongly connected component and provide some other basic properties, including the limiting joint distribution of the degrees and the mean number of arcs. In particular, we show that by choosing the joint distribution of the vertex attributes according to a multivariate regularly varying distribution, one can obtain scale‐free graphs with arbitrary in‐degree/out‐degree dependence.