Social Network Analysis - Lecture 1 - Dr. Stefan Siersdorfer 1.
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Transcript of Social Network Analysis - Lecture 1 - Dr. Stefan Siersdorfer 1.
![Page 1: Social Network Analysis - Lecture 1 - Dr. Stefan Siersdorfer 1.](https://reader034.fdocuments.in/reader034/viewer/2022051416/56649f2f5503460f94c49546/html5/thumbnails/1.jpg)
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Social Network Analysis- Lecture 1 -
Dr. Stefan Siersdorfer
![Page 2: Social Network Analysis - Lecture 1 - Dr. Stefan Siersdorfer 1.](https://reader034.fdocuments.in/reader034/viewer/2022051416/56649f2f5503460f94c49546/html5/thumbnails/2.jpg)
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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/
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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
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Illustrations and Empirical Results
• Figure Credit: Figures from Kleinberg and Easly book
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Example 1: Karate Club
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Example 2: Communication in Organization (HP)
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Example 3: Trade between Countries
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Example 4: Medieval Trading in Europe
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Example 5: World Wide Web (Blogs on Presidental Election in 2004)
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Giant Component Example(Romantic Relationships in High School)
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Small World: Milgram Experiment
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Small Wold: MS Instant Messenger