Social and Information Networks Analysis: Problems, Models and Machine Learning Methods

Lecture Schedule

Date Venue Session 1: 10 am - 1:00 pm Session 2: 2:30 pm - 5:00 pm
December 11, 2017 LH1, Academic Block Basics and models, cascade process, temporal point process, Hawkes process (Dr. Manuel Gomez Rodriguez) Slide Modeling twitter dynamics using Cox process (Dr. Srijith P K) Slide
December 12, 2017 Auditorium, Academic Block Applications and algorithms Information propagation, opinion dynamics, Information reliability(Dr. Manuel Gomez Rodriguez) Slide Event detection (clustering algorithms)- Locality-sensitive hashing (Dr. Manish Singh) Slide, Latent semantic analysis ( Dr. Maunendra Desarkar) Slide
December 13, 2017 Auditorium, Academic Block Applications and algorithms Influence maximisation, activity shaping, source identification(Dr. Manuel Gomez Rodriguez) Slide Stance classification - Deep learning basics (Dr. Vineeth N Balasubramanian), Hawkes process and deep learning (Dr. Srijith P K) Slide
December 14, 2017 Auditorium, Academic Block Event Detection (clusering algorithms) - Latent dirichlet allocation and dirichlet processes (Dr. Srijith P K), Extracting and Utilizing Information from Microblogs during Disaster (Prof. Niloy Ganguly) Slide Certificate distribution, Feedback collection