Dynamics on and of Complex Networks: Machine Learning and Statistical Physics Approaches (3) - Couverture rigide

Couverture rigide

ISBN 10 : 3030146820 ISBN 13 : 9783030146825

Editeur : Springer Nature Switzerland AG, 2019

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.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 3030146820
• ISBN 13: 9783030146825
• Reliure: Relié
• Nombre de pages: 254
• Éditeur: Ghanbarnejad Fakhteh, Saha Roy Rishiraj, Karimi Fariba, Delvenne Jean-Charles, Mitra Bivas
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne