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Event

Web Science [WS192511312]

Type
lecture (V)
Term
WS 19/20
SWS
2
Language
Englisch
Appointments
15
Links
ILIAS

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 09:45 - 11:15 - Room: 05.20 1C-03
  • 24.10.2019 09:45 - 11:15 - Room: 05.20 1C-03
  • 31.10.2019 09:45 - 11:15 - Room: 05.20 1C-03
  • 07.11.2019 09:45 - 11:15 - Room: 05.20 1C-03
  • 14.11.2019 09:45 - 11:15 - Room: 05.20 1C-03
  • 21.11.2019 09:45 - 11:15 - Room: 05.20 1C-03
  • 28.11.2019 09:45 - 11:15 - Room: 05.20 1C-03
  • 05.12.2019 09:45 - 11:15 - Room: 05.20 1C-03
  • 12.12.2019 09:45 - 11:15 - Room: 05.20 1C-03
  • 19.12.2019 09:45 - 11:15 - Room: 05.20 1C-03
  • 09.01.2020 09:45 - 11:15 - Room: 05.20 1C-03
  • 16.01.2020 09:45 - 11:15 - Room: 05.20 1C-03
  • 23.01.2020 09:45 - 11:15 - Room: 05.20 1C-03
  • 30.01.2020 09:45 - 11:15 - Room: 05.20 1C-03
  • 06.02.2020 09:45 - 11:15 - Room: 05.20 1C-03

Note

The lecture provides insights into the analysis of social networks and the used metrics. Thereby, in particular, web phenomena and the available technologies are considered.

Web Science is the emergent study of the people and technologies, applications, processes and practices that shape and are shaped by the World Wide Web. Web Science aims to draw together theories, methods and findings from across academic disciplines, and to collaborate with industry, business, government and civil society, to develop our knowledge and understanding of the Web: the largest socio-technical infrastructure in human history.

The lecture provides an introduction to basic concepts of Web Science. Essential theoretical foundations, phenomena and approaches are presented and explained.

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.

Workload:

  • The total workload for this course is approximately 135 hours
  • Time of presentness: 45 hours
  • Time of preperation and postprocessing: 60 hours
  • Exam and exam preperation: 30 hours