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Semester: Sommersemester

1.07.241 Freiwählbares Modul: Introduction to Network Analysis (Lehrsprache Englisch, Prüfungsleistung Deutsch oder Englisch) -  


Veranstaltungstermin

  • Dienstag: 10:00 - 12:00, wöchentlich (14.04.2020 - 14.07.2020)

Beschreibung

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.

DozentIn

TutorIn

Studienbereiche

  • Studium generale / Gasthörstudium

SWS
2

Lehrsprache
englisch

empfohlenes Fachsemester
2

Anzahl der freigegebenen Plätze für Gasthörende
2

Für Gasthörende / Studium generale geöffnet:
Ja

Hinweise zum Inhalt der Veranstaltung für Gasthörende
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.

Hinweise zur Teilnahme für Gasthörende
Lehrsprache Englisch

We+fpgxbma2istera5 (inhnth+fopotortal-studium@uol.de) (Stand: 07.11.2019)