Towards an Information Theory of Complex Networks Statistical Methods and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Dehmer, Matthias (Επιμελητής έκδοσης), Emmert-Streib, Frank (Επιμελητής έκδοσης), Mehler, Alexander (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston : Birkhäuser Boston, 2011.
• Έκδοση: 1.
• Θέματα: Mathematics.; Coding theory.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Information theory.; Biomathematics.; Electrical engineering.; Information and Communication, Circuits.; Coding and Information Theory.; Physiological, Cellular and Medical Topics.; Communications Engineering, Networks.; Artificial Intelligence (incl. Robotics).; Applications of Mathematics.

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 Net...

Πίνακας περιεχομένων:

• 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.