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Monotone Increasing Properties and Their Phase Transitions in Uniform Random Intersection Graphs

Published 2 Feb 2015 in physics.soc-ph, cs.DM, cs.SI, math.CO, and math.PR | (1502.00405v1)

Abstract: Uniform random intersection graphs have received much interest and been used in diverse applications. A uniform random intersection graph with nn nodes is constructed as follows: each node selects a set of KnK_n different items uniformly at random from the same pool of PnP_n distinct items, and two nodes establish an undirected edge in between if and only if they share at least one item. For such graph denoted by G(n,Kn,Pn)G(n, K_n, P_n), we present the following results in this paper. First, we provide an exact analysis on the probabilities of G(n,Kn,Pn)G(n, K_n, P_n) having a perfect matching and having a Hamilton cycle respectively, under Pn=ω(n(ln⁡n)<sup>5)P_n = \omega\big(n (\ln n)<sup>5\big) (all asymptotic notation are understood with n→∞n \to \infty). The analysis reveals that just like (kk-)connectivity shown in prior work, for both properties of perfect matching containment and Hamilton cycle containment, G(n,Kn,Pn)G(n, K_n, P_n) also exhibits phase transitions: for each property above, as KnK_n increases, the limit of the probability that G(n,Kn,Pn)G(n, K_n, P_n) has the property increases from $0$ to $1$. Second, we compute the phase transition widths of G(n,Kn,Pn)G(n, K_n, P_n) for kk-connectivity (KC), perfect matching containment (PMC), and Hamilton cycle containment (HCC), respectively. For a graph property RR and a positive constant $a &lt; \frac{1}{2}$, with the phase transition width dn(R,a)d_n(R, a) defined as the difference between the minimal KnK_n ensuring G(n,Kn,Pn)G(n, K_n, P_n) having property RR with probability at least $1-a$ or aa, we show for any positive constants $a&lt;\frac{1}{2}$ and kk: (i) If Pn=Ω(n)P_n=\Omega(n) and Pn=o(nln⁡n)P_n=o(n\ln n), then dn(KC,a)d_n(KC, a) is either $0$ or $1$ for each nn sufficiently large. (ii) If Pn=Θ(nln⁡n)P_n=\Theta(n\ln n), then dn(KC,a)=Θ(1)d_n(KC, a)=\Theta(1). (iii) If Pn=ω(nln⁡n)P_n=\omega(n\ln n), then dn(KC,a)=ω(1)d_n(KC, a)=\omega(1). (iv) If Pn=ω(n(ln⁡n)<sup>5)P_n=\omega\big(n (\ln n)<sup>5\big), dn(PMC,a)d_n(PMC, a) and dn(HCC,a)d_n(HCC, a) are both ω(1)\omega(1).

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