On a conditionally Poissonian graph process

Ilkka Norros, Hannu Reittu

    Research output: Contribution to journalArticleScientificpeer-review

    135 Citations (Scopus)


    Random (pseudo)graphs G N with the following structure are studied: first, independent and identically distributed capacities Λ i are drawn for vertices i = 1, …, N; then, each pair of vertices (i, j) is connected, independently of the other pairs, with E(i, j) edges, where E(i, j) has distribution Poisson(Λ i Λ j / ∑ k=1 N Λ k ). The main result of the paper is that when P(Λ1 > x) ≥ x −τ+1, where τ ∈ (2, 3), then, asymptotically almost surely, G N has a giant component, and the distance between two randomly selected vertices of the giant component is less than (2 + o(N))(log log N)/(-log (τ − 2)). It is also shown that the cases τ > 3, τ ∈ (2, 3), and τ ∈ (1, 2) present three qualitatively different connectivity architectures.
    Original languageEnglish
    Pages (from-to)59-75
    Number of pages17
    JournalAdvances in Applied Probability
    Issue number1
    Publication statusPublished - 2006
    MoE publication typeA1 Journal article-refereed


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