14 August 2013
Online Social Network Analytics
Social network analytics deals with extracting intelligence and value from information being exchanged over online social networks, such as Facebook, twitter and foursquare. We discuss concepts such as the wisdom of the crowds, herding, and opinion convergence in online social networks, focusing on how such phenomena impact businesses, the economy, personal relationships, and the society at large. Social network analysis techniques are introduced and real-life case studies are presented to illustrate the opportunities and challenges that arise when investigating our online presence and connectivity. Course offered by Department of Economics.
George M. Giaglis & Efpraxia Zamani, Athen Univerity of Economics and Business, Greece
By the end of the course, students will be able to:
• Understand the concepts of ties, relationships, bargaining and power in online social networks;
• Identify business and societal implications of online social networking;
• Discuss legal and ethical issues that may arise from information flowing across online social networks;
• Understand network dynamics, including the concepts of social learning, herding, network effects, and
cascading behaviours in online social networks;
• Identify appropriate social network analysis and modelling techniques in real-life applications.
EUR 0: Students on a bilateral exchange programme do not have to pay. Freemovers are obliged to pay participation fees while tuition fees only apply to freemovers from countries outside the EU/EEA/Switzerland.