Dynamics on and of Complex Networks : Machine Learning and Statistical Physics Approaches

Ghanbarnejad, Fakhteh (EDT); Roy, Rishiraj Saha (EDT); Karimi, Fariba (EDT); Delvenne, Jean-charles (EDT); Mitra, Bivas (EDT)

ISBN 10: 3030146820 / ISBN 13: 9783030146825

Edité par Springer, 2019

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N° de réf. du vendeur 35194607-n

Détails bibliographiques

• Titre: Dynamics on and of Complex Networks : Machine Learning and Statistical Physics Approaches
• Éditeur: Springer
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 3030146820
• ISBN à 13 chiffres: 9783030146825
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

Part1. Network Structure.- Chapter1. An Empirical Study of the Effect of Noise Models on Centrality Metrics.- Chapter2. Emergence and Evolution of Hierarchical Structure in Complex Systems.- Chapter3. Evaluation of Cascading Infrastructure Failures and Optimal Recovery from a Network Science Perspective.- Part2. Network Dynamics.- Chapter4. Automatic Discovery of Families of Network Generative Processes.- Chapter5. Modeling User Dynamics in Collaboration Websites.- Chapter6. The Problem of Interaction Prediction in Link Streams.- Chapter7. The Network Source Location Problem in the Context of Foodborne Disease Outbreaks.- Part3. Theoretical Models and applications.- Chapter8. Network Representation Learning using Local Sharing and Distributed Graph Factorization (LSDGF).- Chapter9. The Anatomy of Reddit: An Overview of Academic Research.- Chapter10. Learning Information Dynamics in Social Media: A Temporal Point Process Perspective.