Can we guess if a user is sick from her tweet? How do opinions get formed in online forums? Which people should we immunize, to prevent an epidemic as fast as possible? How to quickly zoom out of a graph? Graphs---also known as networks---are powerful tools for modelling processes and situations of interest in real-life like social-systems, cyber-security, epidemiology and biology. They are ubiquitous, from online social networks, gene-regulatory networks, to router graphs.

This course will cover recent research on the analysis of large networks (both theoretical and empirical), algorithms behind network problems, and their practical applications in various diverse settings. Topics include diffusion and virus propagation in networks, graph embeddings using deep networks, community detection, anomaly and outbreak detection, time-sequence segmentation and connections with work in public health, social sciences and cyber security.