Matthias Dehmer & Frank Emmert-Streib 
Towards an Information Theory of Complex Networks [PDF ebook] 
Statistical Methods and Applications

समर्थन

For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A  tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book’s major goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks.


This volume is the first to present a self-contained, comprehensive overview of information-theoretic models of complex networks with an emphasis on applications. As such, it marks a first step toward establishing advanced statistical information theory as a unified theoretical basis of complex networks for all scientific disciplines and can serve as a valuable resource for a diverse audience of advanced students and professional scientists. While it is primarily intended as a reference for research,  the book could also be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others.

€96.29
भुगतान की विधि

विषयसूची

Preface.- Entropy of Digraphs and Infinite Networks.- An Information-Theoretic Upper Bound on Planar Graphs Using Well-orderly Maps.- Probabilistic Inference Using Function Factorization and Divergence Minimization.- Wave Localization on Complex Networks.- Information-Theoretic Methods in Chemical Graph Theory.- On the Development and Application of Net-Sign Graph Theory.- The Central Role of Information Theory in Ecology.- Inferences About Coupling from Ecological Surveillance Monitoring.- Markov Entropy Centrality.- Social Ontologies as Generalizedd Nearly Acyclic Directed Graphs.- Typology by Means of Language Networks.- Information Theory-Based Measurement of Software.- Fair and Biased Random Walks on Undirected Graphs and Related Entropies.
यह ईबुक खरीदें और 1 और मुफ़्त पाएं!
भाषा अंग्रेज़ी ● स्वरूप PDF ● पेज 395 ● ISBN 9780817649043 ● फाइल का आकार 8.9 MB ● संपादक Matthias Dehmer & Frank Emmert-Streib ● प्रकाशक Birkhäuser Boston ● शहर MA ● देश US ● प्रकाशित 2011 ● डाउनलोड करने योग्य 24 महीने ● मुद्रा EUR ● आईडी 2238086 ● कॉपी सुरक्षा सामाजिक DRM

एक ही लेखक से अधिक ईबुक / संपादक

1,349 इस श्रेणी में ईबुक