Ginestra Bianconi: Maximum Entropy Models for Complex Networks
Section outline
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MAXIMUM ENTROPY MODELS OF COMPLEX NETWORKS: SLIDES AND HANDWRITTEN NOTES
Lesson 1: Introduction to complex networks and maximum entropy principle
Lesson 2: Maximum Entropy principle Microcanonical and canonical network ensembles, Handwritten notes
Lesson 3: Random graphs and canonical ensembles with expected degree sequence,correlated and uncorrelated networks, Handwritten notes
Lesson 5: Two star and Strauss model. Spatial networks ensembles and latent variables, Block models and inference, Handwritten notes
MAXIMUM ENTROPY MODELS OF COMPLEX NETWORKS: LIVE LECTURES (RECORDING AVAILABLE BY FOLLOWING THE LECTURE LINK)
Mondays 14 February -14 March 3:50pm-5:50pm
The course will take place online in the Blackboard Collaborate see link (Guest Link sent by private email)
