"This book explores node and edge centrality metrics and real-world network graphs, computationally-light vs. computationally-heavy centrality metrics, centrality-based connected dominating sets for complex network graphs, assortativity analysis based on centrality metrics, time-dependent variation of the node centrality metrics during the evolution of a scale-free network, curriculum network graph analysis, and eigenvector centrality-based approach to detect graph isomorphism"--
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"This book explores node and edge centrality metrics and real-world network graphs, computationally-light vs. computationally-heavy centrality metrics, centrality-based connected dominating sets for complex network graphs, assortativity analysis based on centrality metrics, time-dependent variation of the node centrality metrics during the evolution of a scale-free network, curriculum network graph analysis, and eigenvector centrality-based approach to detect graph isomorphism"--
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