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.
Period
17-07-2013 - 14-08-2013 (4 weeks)
Target group
Master students
Course aim
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.
Credits
10.0 ECTS credits
Course fee
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.
Course leader
George M. Giaglis & Efpraxia Zamani, Athen Univerity of Economics and Business, Greece
Aarhus University International Centre
Address: Hoeg Guldbergs Gade 4, building 1650 Aarhus C
Postal code: 8000
City: Aarhus
Country: Denmark
Website: http://www.au.dk/summeruniversity
E-mail: SummerUniversity@adm.au.dk
Phone: +45 8942 2320
Online Social Network Analytics
label
Diverse
calendar_month
2013-01-28, 00:00
autorenew
2025-09-29, 17:00
history_edu
Silviu Marinescu
