Format:
1 Online-Ressource (X, 244 Seiten)
,
Illustrationen, Diagramme
ISBN:
9783030146832
Series Statement:
Springer Proceedings in Complexity
Content:
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
Content:
This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes. The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science
Additional Edition:
ISBN 9783030146825
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 978-3-030-14682-5
Additional Edition:
Erscheint auch als Druck-Ausgabe Dynamics on and of complex networks ; 3: Machine learning and statistical physics approaches Cham : Springer, 2019 ISBN 9783030146825
Language:
English
Keywords:
Dynamisches System
;
Konferenzschrift
;
Aufsatzsammlung
DOI:
10.1007/978-3-030-14683-2
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