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Random Graphs with Clustering
2009
Physical Review Letters
We offer a solution to a long-standing problem in the physics of networks, the creation of a plausible, solvable model of a network that displays clustering or transitivity -- the propensity for two neighbors of a network node also to be neighbors of one another. We show how standard random graph models can be generalized to incorporate clustering and give exact solutions for various properties of the resulting networks, including sizes of network components, size of the giant component if
doi:10.1103/physrevlett.103.058701
pmid:19792540
fatcat:oes3vl3lvzc5zglobybq2t4t5y