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

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
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:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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. .