Social Media Analytics

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 in the web, social recommendation and location-based social media.

Details

Code 63091
Type Course
ECTS 5
Site Fribourg
Track(s) T6 – Data Science
Semester S2020

Teaching

Learning Outcomes

On successful completion of this course, you will be able to:

  • Analyze a social media network and identity its main properties
  • Understand how to apply clustering techniques to detect communities
  • Apply matrix factorization/decomposition techniques on social media networks
  • How to boost recommendation systems using user social networks
  • Identify the main characteristics of human mobility in social networks and its applications
Lecturer(s) Mourad Khayati
Philippe Cudré-Mauroux
Language english
Course Page

The course page in ILIAS can be found at .

Schedules and Rooms

Period Weekly
Schedule Tuesday, 14:15 - 17:00
Location UniFR, PER21
Room E230

Additional information

Comment

First Lecture
The first lecture will be announced later.