Towards an information theory of complex networks : statistical methods and applications

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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Dehmer, Matthias, 1968-
مؤلفون آخرون: Emmert-Streib, Frank (المحرر), Mehler, Alexander (المحرر)
التنسيق: Livre numérique
اللغة:Anglais
منشور في: Boston : Birkhäuser Boston [20..].
Cham : Springer Nature
الموضوعات:
الوصول للمادة أونلاين:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
ملاحظة: Description d'après consultation du 23 avril 2012
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Towards an Information Theory of Complex Networks, Texte imprimé, 9780817649036
جدول المحتويات:
  • 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