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Social Network Analysis - Lecture 1 -

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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Social Network Analysis - Lecture 1 -

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  1. Social Network Analysis- Lecture 1 - Dr. Stefan Siersdorfer

  2. 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/

  3. 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

  4. Illustrations and Empirical Results • Figure Credit: Figures from Kleinberg and Easly book

  5. Example 1: Karate Club

  6. Example 2: Communication in Organization (HP)

  7. Example 3: Trade between Countries

  8. Example 4: Medieval Trading in Europe

  9. Example 5: World Wide Web (Blogs on Presidental Election in 2004)

  10. Giant Component Example(Romantic Relationships in High School)

  11. Small World: Milgram Experiment

  12. Small Wold: MS Instant Messenger

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