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- W2488502502 abstract "We discuss a notion of clustering for directed graphs, which describes how likely two followers of a node are to follow a common target. The associated network motifs, called dicliques or bi-fans, have been found to be key structural components in various real-world networks. We introduce a two-mode statistical network model consisting of actors and auxiliary attributes, where an actor i decides to follow an actor j whenever i demands an attribute supplied by j. We show that the digraph admits nontrivial clustering properties of the aforementioned type, as well as power-law indegree and outdegree distributions." @default.
- W2488502502 created "2016-08-23" @default.
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- W2488502502 date "2016-01-01" @default.
- W2488502502 modified "2023-09-26" @default.
- W2488502502 title "Diclique Clustering in a Directed Random Graph" @default.
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- W2488502502 doi "https://doi.org/10.1007/978-3-319-49787-7_3" @default.
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