FS2017

-Description: The course will cover techniques and algorithms to analyze the structure of large social networks, and to identify their main properties. We start by introducing the basic concepts of social media analytics. Next, the course will delve into studying the main measures and models used for social media networks and techniques applied to identify communities. Then, the course will cover social media application topics, including diffusion/influence in social networks, crowdsourcing on the web, social recommendation and location-based social media. -Learning outcomes: On successful completion of this course, you will be able to: - Analyze a social media networks and identity their main properties - Understand how to apply clustering techniques to detect communities - Apply matrix factorization/decomposition techniques on social media networks - Boost recommendation systems using social networks - Identify the main characteristics of human mobility in social networks and their applications.