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- W2000687288 abstract "We offer a solution to a long-standing problem in the theory 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 there is one, position of the phase transition at which the giant component forms, and position of the phase transition for percolation on the network." @default.
- W2000687288 created "2016-06-24" @default.
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- W2000687288 date "2009-07-27" @default.
- W2000687288 modified "2023-10-05" @default.
- W2000687288 title "Random Graphs with Clustering" @default.
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- W2000687288 doi "https://doi.org/10.1103/physrevlett.103.058701" @default.
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