Stud.IP Uni Oldenburg
University of Oldenburg
04.07.2020 02:11:22
1.07.241 Seminar: Freiwählbares Modul: Introduction to Network Analysis (Lehrsprache Englisch, Prüfungsleistung Deutsch oder Englisch) - Details
You are not logged into Stud.IP.

General information

Subtitle
Course number 1.07.241
Semester Sommersemester 2020
Current number of participants 9
maximum number of participants 25
Home institute Department of Social Sciences
Courses type Seminar in category Teaching
Next date Tue , 07.07.2020 10:00 - 12:00, Room: A06 3-313 (OLExS-Labor)
Type/Form S 2SWS
Lehrsprache englisch
ECTS points 6

Comment/Description

This course offers a hands-on introduction to the concepts and methods of social network analysis (SNA) using the statistical programming environment R. Depending on research interests and data availability, researchers commonly look at networks of different sizes and degrees of complexity. In this class we will learn about tools to analyze these various types of networks. This will include egocentric networks (e.g. own family and friendship network) and complete networks of various sizes: e.g. friendship ties in a school class, informal communication networks in organizations, and large-scale, complex networks like co-citation networks of scientists or interaction networks on social networking websites. The course will combine lecture/seminar style presentations of the instructor with lab sessions in which students work on empirical exercises using R.

Literature:
Borgatti, Stephen P., Ajay Mehra, Daniel J. Brass, and Giuseppe Labianca. 2009. “Network Analysis in the Social Sciences.” Science 323(5916):892–95.
Kolaczyk, E. D., & Csárdi, G. (2014). Statistical analysis of network data with R. New York: Springer.

Admission settings

The course is part of admission "sow935/936 SoSe".
Settings for unsubscribe:
  • The enrolment is possible from 06.03.2020, 10:00 to 08.05.2020, 23:59.
  • A defined number of seats will be assigned to these courses.
    The seats will be assigned in order of enrolment.
  • The following conditions must be met for enrolment:
    Subject is Sozialwissenschaften and Degree is Master