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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ghanbarnejad, Fakhteh (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Saha Roy, Rishiraj (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Karimi, Fariba (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Delvenne, Jean-Charles (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Mitra, Bivas (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Springer Proceedings in Complexity,
• Θέματα: 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: 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. 

 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. .