Graphs can be used to model many types of relations and process dynamics in physical, biological, social and information systems. Many practical problems can be represented by graphs. In this book, the authors present new research on graph theory including the applications of graph theory in architectural analysis; Miesian intersections and comparing and evaluating graph theory approaches to architectural spatial analysis; the algebraic structure of graphs; the combination of graph theory and unsupervised learning applied to social data mining; organizing and structuring the contents of mathematical subjects using graph theory; and a modularity-based filtering approach for network immunization.
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Format PDF ● Pages 240 ● ISBN 9781628085440 ● Éditeur Alessandra Cavalcante ● Maison d’édition Nova Science Publishers ● Publié 2013 ● Téléchargeable 3 fois ● Devise EUR ● ID 7223405 ● Protection contre la copie Adobe DRM
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