Section: MAXIMUM ENTROPY MODELS FOR COMPLEX NETWORKS | LTCC - London Taught Course Centre (Queen Mary Courses)

Section outline

- Select activity Slides Lesson 1: Introdution to Complex Networks and Maximum Entropy Principle
  
  Slides Lesson 1: Introdution to Complex Networks and Maximum Entropy Principle File
  
  2.4 MB
- Select activity Slides lesson 2: Maximum entropy principle. Canonical and microcanonical ensembles.
  
  Slides lesson 2: Maximum entropy principle. Canonical and microcanonical ensembles. File
  
  478.8 KB
- Select activity Lesson 2: Handwritten notes
  
  Lesson 2: Handwritten notes File
  
  2.7 MB
- Select activity Slides Lesson 3: Random graphs, Network ensemble with given degree sequence
  
  Slides Lesson 3: Random graphs, Network ensemble with given degree sequence File
  
  1.1 MB
- Select activity Handwritten notes:Lesson 3
  
  Handwritten notes:Lesson 3 File
  
  2.8 MB
- Select activity Slides lesson 4: Correlated and uncorrelated networks, Canonical Ensembles in the Uncorrelated limit, The configuration model and the non-equivalence of ensembles, Two star and Strauss model
  
  Slides lesson 4: Correlated and uncorrelated networks, Canonical Ensembles in the Uncorrelated limit, The configuration model and the non-equivalence of ensembles, Two star and Strauss model File
  
  1.1 MB
- Select activity Slides lesson 5: Two star and the Strauss model, Block models and inference, Maximum Entropy models for multiplex networks and simplicial complexes
  
  Slides lesson 5: Two star and the Strauss model, Block models and inference, Maximum Entropy models for multiplex networks and simplicial complexes File
  
  3.6 MB
- Select activity Lesson 5 Handwritten notes
  
  Lesson 5 Handwritten notes File
  
  1.5 MB