Generating realistic scaled complex networks

Generating realistic scaled complex networks

Abstract Research on generative models plays a central role in the emerging field of network science, studying how statistical patterns found in real networks could be generated by formal rules. Output from these generative models is then the basis for designing and evaluating computational methods...

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Bibliographic Details
Main Authors: Christian L. Staudt, Michael Hamann, Alexander Gutfraind, Ilya Safro, Henning Meyerhenke
Format: Article
Language:English
Published: SpringerOpen 2017-10-01
Series:Applied Network Science
Subjects:
Network generation
Multiscale modeling
Network modeling
Communities
Online Access:http://link.springer.com/article/10.1007/s41109-017-0054-z

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http://link.springer.com/article/10.1007/s41109-017-0054-z

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