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Social Network Analysis - Lecture 1 - . Dr. Stefan Siersdorfer. Logistics (1). Lecturer: Dr. Stefan Siersdorfer Teaching Assistant: Dipl-Inf. Sergiu Chelaru Lecture times: Tuesday, 10am, about 2 * 45min, 10min break, followed by 45min tutorial Weekly homework exercises

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logistics 1
Logistics (1)
  • Lecturer: Dr. Stefan Siersdorfer
  • Teaching Assistant: Dipl-Inf. Sergiu Chelaru
  • Lecture times: Tuesday, 10am, about 2 * 45min, 10min break, followed by 45min tutorial
  • Weekly homework exercises
  • Written Exam / Oral Exam: TBA
  • Book: David Easly and Jon Kleinberg, „Networks, Crowds and Markets“, Camebridge University Press, 2010https://www.cs.cornell.edu/home/kleinber/networks-book/
  • Practical work (later in the course): Gephi https://gephi.org/
logistics 2
Logistics (2)
  • No lecture notes; but content of the lecture will be very close to the book:
    • Chapters corresponding to lectures will be announced
    • „Look-ahead“ useful!
  • Lecture format: mix of slides (less) and whiteboard (more)
  • Course page: https://t3sec.rrzn.uni-hannover.de/cmsv018f.rrzn.uni-hannover.de/social_network_analysis.html(Google: social network analysis hannover)
  • Prerequisites: Basics of graphs and probabilities
  • During the lectures: no mobile phones, laptops, etc. please
illustrations and empirical results
Illustrations and Empirical Results
  • Figure Credit: Figures from Kleinberg and Easly book