2 options
Dynamics On and Of Complex Networks III : Machine Learning and Statistical Physics Approaches / edited by Fakhteh Ghanbarnejad, Rishiraj Saha Roy, Fariba Karimi, Jean-Charles Delvenne, Bivas Mitra.
- Format:
- Book
- Series:
- Springer proceedings in complexity 2213-8684
- Springer Proceedings in Complexity, 2213-8684
- Language:
- English
- Subjects (All):
- Engineering.
- Social sciences--Data processing.
- Social sciences.
- Social sciences--Computer programs.
- Data-driven Science, Modeling and Theory Building.
- Complexity.
- Computational Social Sciences.
- Complex Systems.
- Local Subjects:
- Data-driven Science, Modeling and Theory Building.
- Complexity.
- Computational Social Sciences.
- Complex Systems.
- Physical Description:
- 1 online resource (X, 244 pages) : 76 illustrations, 68 illustrations in color.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-14683-2
- 9783030146832
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.