Department of Computer Science & Engineering

University of Ioannina

Online Social Networks and Media

Course Feature
Class Description

Course ID: D6

Unit: DATA SCIENCE AND ENGINEERING – Unit D: Data Analysis and Processing

Weekly Hours: 4

Type:

ECTS Credits: 7

Course Homepage:

Description: 

  • Theoretical problems and applications around the analysis and mining of (online) social networks and media such as Facebook and Twitter.
  • Indicative subjects: models for networks, techniques for obtaining, storing and processing networked data, models for information diffusion, algorithms for ranking and selecting of influencers, dynamic processes such as influence spread and opinion formation, team formation and community finding, games over networks, privacy, fairness and diversity.
  • Panayiotis Tsaparas

    • PhD, Department of Computer Science, University of Toronto, Canada, March 2004
    • MSc, Department of Computer Science, University of Toronto, Canada, May 1997
    • B.Sc., Department of Computer Science, University of Crete, Greece, September 1995
  • Evaggelia Pitoura

    • Ph.D. Dept. of Computer Science, Purdue University, 1995
    • M.Sc. Dept. of Computer Science, Purdue University, 1993
    • B.Sc. Dept. of Computer Eng. And Informatics, University of Patras, 1990