Event
Exercises to Web Science [WS192511313]
Lecturers
Organisation
- Institut für Angewandte Informatik und Formale Beschreibungsverfahren
Part of
Literature
Networks, Crowds, and Markets: Reasoning About a Highly Connected World, by David Easley and Jon Kleinberg, 2010 (free online book: http://www.cs.cornell.edu/home/kleinber/networks-book/)
Thelwall, M. (2009). Social network sites: Users and uses. In: M. Zelkowitz (Ed.), Advances in Computers 76. Amsterdam: Elsevier (pp. 19-73)
Appointments
- 17.10.2019 15:45 - 17:15 - Room: 11.40 Raum -116
- 24.10.2019 15:45 - 17:15 - Room: 11.40 Raum -116
- 31.10.2019 15:45 - 17:15 - Room: 11.40 Raum -116
- 07.11.2019 15:45 - 17:15 - Room: 11.40 Raum -116
- 14.11.2019 15:45 - 17:15 - Room: 11.40 Raum -116
- 21.11.2019 15:45 - 17:15 - Room: 11.40 Raum -116
- 28.11.2019 15:45 - 17:15 - Room: 11.40 Raum -116
- 05.12.2019 15:45 - 17:15 - Room: 11.40 Raum -116
- 12.12.2019 15:45 - 17:15 - Room: 11.40 Raum -116
- 19.12.2019 15:45 - 17:15 - Room: 11.40 Raum -116
- 09.01.2020 15:45 - 17:15 - Room: 11.40 Raum -116
- 16.01.2020 15:45 - 17:15 - Room: 11.40 Raum -116
- 23.01.2020 15:45 - 17:15 - Room: 11.40 Raum -116
- 30.01.2020 15:45 - 17:15 - Room: 11.40 Raum -116
- 06.02.2020 15:45 - 17:15 - Room: 11.40 Raum -116
Note
The exercises are related to the lecture Web Science.
Multiple exercises are held that capture the topics, held in the lecture Web Scienceand discuss them in detail. Thereby, practical examples are given to the students in order to transfer theoretical aspects into practical implementation.
This course aims to provide students with a basic knowledge and understanding about the structure and analysis of selected web phenomena and technologies. Topics include the small world problem, network theory, social network analysis, graph search and technologies/standards/architectures.
Learning objectives:
The students
look critically into current research topics in the field of Web Science and learns in particular about the topics small-world-problem, network theory, social network analysis, bibliometrics, as well as link analysis and search.
apply interdisciplinary thinking.
train the application of technological approaches to social science problems.