In this course, the 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. Structure of the lecture
Lecturer: Prof. Dr. York Sure
The lecture is given in English. Lectures (corresponding to 2h/week).
Credits: 2 SWS, 3 ECTS
- Social Web - 00 Themes and Topics for Presentation
- Social Web - 01 Overview and Motivation
- Social Web - 02 Small World Problem
- Social Web - 03 Network Theory
- Social Web - 04 Bibliometrics Part1
- Social Web - 04 Bibliometrics Part2
- Social Web - 05 Social Network Analysis
lecture wednesday 14:00 - 16:00 room 205 Emil-Schüller-Straße (see also in Klips)
exercise course wednesday 14:00 - 18:00 room 205 Emil-Schüller-Straße
Either as an oral examination or as a written exam depending on the number of attendees.
Here is the corresponding entry for the lecture in Klips.
1. What is the Social Web?
- Typical interactions
- Typical distributions
- Data gathering
2. What is Bibliometrics?
- 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
References Wilson, Concepción S. (1999): Informetrics, Annual Review of Information Science and Technology (ARIST) 34, 107-247.