| |
| Title | Dynamics On and Of Complex Networks III : Machine Learning and Statistical Physics Approaches |
| Author(s) | Ghanbarnejad, Fakhteh;Saha Roy, Rishiraj;Karimi, Fariba;Delvenne, Jean-Charles;Mitra, Bivas |
| Publication | Cham, Springer International Publishing, 2019. |
| Description | X, 244 p. 76 illus., 68 illus. in color : online resource |
| Abstract Note | 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 |
| ISBN,Price | 9783030146832 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. Computational Social Sciences
5. Data-driven Science, Modeling and Theory Building
6. EBOOK
7. EBOOK - SPRINGER
8. ECONOPHYSICS
9. Social sciences???Computer programs
10. Social sciences???Data processing
11. Sociophysics
12. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09167 |
|
|
On Shelf |
|
|
|
|