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- W4376608082 abstract "We introduce a random graph model for clustering graphs with a given degree sequence. Unlike previous random graph models, we incorporate clustering effects into the model without any geometric conditions. We show that random clustering graphs can yield graphs with a power-law expected degree sequence, small diameter, and any desired clustering coefficient. Our results follow from a general theorem on subgraph counts which may be of independent interest." @default.
- W4376608082 created "2023-05-17" @default.
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- W4376608082 date "2023-01-01" @default.
- W4376608082 modified "2023-10-11" @default.
- W4376608082 title "A Random Graph Model for Clustering Graphs" @default.
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- W4376608082 doi "https://doi.org/10.1007/978-3-031-32296-9_8" @default.
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