Dynamics On and Of Complex Networks III Machine Learning and Statistical Physics Approaches /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ghanbarnejad, Fakhteh (Editor, http://id.loc.gov/vocabulary/relators/edt), Saha Roy, Rishiraj (Editor, http://id.loc.gov/vocabulary/relators/edt), Karimi, Fariba (Editor, http://id.loc.gov/vocabulary/relators/edt), Delvenne, Jean-Charles (Editor, http://id.loc.gov/vocabulary/relators/edt), Mitra, Bivas (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Springer Proceedings in Complexity,
• Subjects: Sociophysics.; Econophysics.; Computational complexity.; Social sciences-Data processing.; Social sciences-Computer programs.; System theory.; Data-driven Science, Modeling and Theory Building.; Complexity.; Computational Social Sciences.; Complex Systems.

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...