HyGen: generating random graphs with hyperbolic communities

HyGen: generating random graphs with hyperbolic communities

Abstract Random graph generators are necessary tools for many network science applications. For example, the evaluation of graph analysis algorithms requires methods for generating realistic synthetic graphs. Typically random graph generators are generating graphs that satisfy certain global criteri...

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Bibliographic Details
Main Authors: Saskia Metzler, Pauli Miettinen
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:Applied Network Science
Subjects:
Random graph generators
Community detection
Hyperbolic community structure
Online Access:http://link.springer.com/article/10.1007/s41109-019-0166-8

Internet

http://link.springer.com/article/10.1007/s41109-019-0166-8

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