Identifying network structure similarity using spectral graph theory

Identifying network structure similarity using spectral graph theory

Abstract Most real networks are too large or they are not available for real time analysis. Therefore, in practice, decisions are made based on partial information about the ground truth network. It is of great interest to have metrics to determine if an inferred network (the partial information net...

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Bibliographic Details
Main Authors: Ralucca Gera, L. Alonso, Brian Crawford, Jeffrey House, J. A. Mendez-Bermudez, Thomas Knuth, Ryan Miller
Format: Article
Language:English
Published: SpringerOpen 2018-01-01
Series:Applied Network Science
Subjects:
Network topology
Graph comparison metrics
Laplacian
Eigenvalue distribution
Kolmogorov-Smirnov test
Online Access:http://link.springer.com/article/10.1007/s41109-017-0042-3

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http://link.springer.com/article/10.1007/s41109-017-0042-3

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