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...
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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: |
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Springer Proceedings in Complexity
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245 | 1 | 0 | |a Dynamics On and Of Complex Networks III |h [E-Book] : |b Machine Learning and Statistical Physics Approaches / |c edited by Fakhteh Ghanbarnejad, Rishiraj Saha Roy, Fariba Karimi, Jean-Charles Delvenne, Bivas Mitra. |
250 | |a 1st edition 2019. | ||
264 | 1 | |a Cham : |b Springer, |c 2019 |e (Springer LINK) |f SpringerPhysicsAstronomy20200630 | |
300 | |a X, 244 pages 76 illustrations, 68 illustrations in color (online resource) | ||
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490 | |a Springer Proceedings in Complexity | ||
500 | |a englisch | ||
505 | 0 | |a 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. . | |
520 | |a 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. | ||
650 | 0 | |a Computational complexity. | |
650 | 0 | |a Econophysics. | |
650 | 0 | |a Social sciences-Computer programs. | |
650 | 0 | |a Social sciences-Data processing. | |
650 | 0 | |a Sociophysics. | |
650 | 0 | |a System theory. | |
700 | 1 | |a Delvenne, Jean-Charles, |e editor | |
700 | 1 | |a Ghanbarnejad, Fakhteh, |e editor | |
700 | 1 | |a Karimi, Fariba, |e editor | |
700 | 1 | |a Mitra, Bivas, |e editor | |
700 | 1 | |a Saha Roy, Rishiraj, |e editor | |
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