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arxiv: 1302.2518 · v2 · pith:4MQME4LMnew · submitted 2013-02-11 · ⚛️ physics.soc-ph · cond-mat.stat-mech· cs.SI

Minimum Dominating Sets in Scale-Free Network Ensembles

classification ⚛️ physics.soc-ph cond-mat.stat-mechcs.SI
keywords networkscalingfindgammalinearsizebehaviorclasses
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We study the scaling behavior of the size of minimum dominating set (MDS) in scale-free networks, with respect to network size $N$ and power-law exponent $\gamma$, while keeping the average degree fixed. We study ensembles generated by three different network construction methods, and we use a greedy algorithm to approximate the MDS. With a structural cutoff imposed on the maximal degree ($k_{\max}=\sqrt{N}$) we find linear scaling of the MDS size with respect to $N$ in all three network classes. Without any cutoff ($k_{\max}=N-1$) two of the network classes display a transition at $\gamma \approx 1.9$, with linear scaling above, and vanishingly weak dependence below, but in the third network class we find linear scaling irrespective of $\gamma$. We find that the partial MDS, which dominates a given $z<1$ fraction of nodes, displays essentially the same scaling behavior as the MDS.

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