Module Import 04IN2025 - Social Web and Bibliometry

Status: (discontinued) Published
Workload6 ECTS = 180 hrs
Credits, Weight6 ECTS, (n.s.)
Language of Instruction English
Semester (n.s.)
Duration1 Sem.
M/E Mandatory
Courses
Course No. Type Name MA/EL Workload Credits Contact Hours Selfstudy Group Size
04IN2025-1 Lecture Social Web and Bibliometry (n.s.) 3 ECTS = 90 hrs - 2 hrs/week = 30 hrs 60 hrs (n.s.)
04IN2025-2 Seminar/Exercise Social Web and Bibliometry (n.s.) 3 ECTS = 90 hrs - 2 hrs/week = 30 hrs 60 hrs (n.s.)
Learning Outcomes

In this course, students will get a systematic overview about applications on the Social Web. The lecture will identify and discuss typical and repeating interaction pattern and regularities in Social Web applications like Facebook, Flickr, Youtube, Twitter. The second part will present the basics of the information science discipline Bibliometrics. We will show how bibliometric methods can be applied on Social Web data.

Content

(not specified)

04IN2025-1 - Social Web and Bibliometry
  1. What is the Social Web? Applications; Typical interactions; Typical distributions; APIs; Data gathering;
  2. What is Bibliometrics? Foundations; Bradford Law; Lotka Law; Citation Analysis;
  3. Methods of Bibliometrics; 
  4. Application of bibliometric methods in bibliographic data; 
  5. Analysis of Social Web data with bibliometric methods; 
  6. Conclusion
Teaching Methods

(not specified)

Prerequisites

Basic knowledge about foundations of information science or Web science;

Knowledge about foundational distinctions such as the difference between data, information and knowledge and the social embeddedness of information and knowledge.

Examination Methods

 

Oral or written exam depending on class size.

Participation in the tutorial is a prerequisite for admission to the examination.

Credit Requirements

(not specified)

References

(not specified)

04IN2025-1 - Social Web and Bibliometry

Wilson, Concepción S. (1999): Informetrics, Annual Review of Information Science and Technology (ARIST) 34, 107-247.

Responsible / Organizational Unit
Staab, Steffen / Institute for Computer Science
Additional Information

(not specified)

Last change
Apr 24, 2018 by Frey, Johannes
Last Change Module
Oct 22, 2013 by Frey, Johannes