Publication | Open Access
A Note on the Component Structure in Random Intersection Graphs with Tunable Clustering
27
Citations
16
References
2008
Year
Cluster ComputingEngineeringNetwork AnalysisEducationComputational ComplexityTunable ClusteringRandom GraphStructural Graph TheoryExtremal CombinatoricsDiscrete MathematicsProbabilistic Graph TheoryCombinatorial OptimizationRandom Intersection GraphsHypergraph TheoryComputer ScienceNetwork ScienceGraph TheoryComponent StructureGraph AnalysisExtremal Graph Theory
We study the component structure in random intersection graphs with tunable clustering, and show that the average degree works as a threshold for a phase transition for the size of the largest component. That is, if the expected degree is less than one, the size of the largest component is a.a.s. of logarithmic order, but if the average degree is greater than one, a.a.s. a single large component of linear order emerges, and the size of the second largest component is at most of logarithmic order.
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