Dynamics On and Of Complex Networks III [E-Book] : Machine Learning and Statistical Physics Approaches / edited by Fakhteh Ghanbarnejad, Rishiraj Saha Roy, Fariba Karimi, Jean-Charles Delvenne, Bivas Mitra.
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: predicti...
Saved in:
Full text |
|
Personal Name(s): | Delvenne, Jean-Charles, editor |
Ghanbarnejad, Fakhteh, editor / Karimi, Fariba, editor / Mitra, Bivas, editor / Saha Roy, Rishiraj, editor | |
Edition: |
1st edition 2019. |
Imprint: |
Cham :
Springer,
2019
|
Physical Description: |
X, 244 pages 76 illustrations, 68 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030146832 |
DOI: |
10.1007/978-3-030-14683-2 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
Springer Proceedings in Complexity
|
Subject (LOC): |
- 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. .