Technische Universität Ilmenau

Applied Social Network Analysis for Communication Research - Interactive curriculae of TU Ilmenau

The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.

Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).

You can find all details on planned lectures and classes in the course catalogue.

Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.

module properties module number 101937 - common information
module number101937
departmentDepartment of Economic Sciences and Media
ID of group2559 (Kommunikationswissenschaft mit Schwerpunkt Computational Communication Science)
module leader Mian Waqas Ejaz
languageenglish
term ganzjährig
previous knowledge and experience

The course requires basic knowledge or affinity of field of social media communication, network analysis and R

learning outcome

Students are expected to learn the following things during the course:

  • Theoretical understanding of Network Analysis
  • Understand basic data structures required for Network analysis
  • Automated Web data scrapping particularly social media data
  • Data munging and transforming
  • Visualizing networks
content

The course is structured to make students aware usability of social media data for network analysis. Moreover, the course is primarily focused on communicating climate change issue and how the debate around this topic exists on social media. In the course, students are expected to learn different data structures and will be trained to use Twitter data. The instructor will make sure students get comfortable in using programming language R for data scrapping and analyzing. Finally, students will develop an understanding to visualize and explain different networks.

media of instruction and technical requirements for education and examination in case of online participation
literature / references
  • Stinerock, R. (2018): Statistics with R – A Begniner’s Guide. New Delhi: Sage
  • Field, A. (2012): Discovering Statistics Using R. London, Thousand Oaks and New Delhi: Sage.
  • Robins, G. (2015): Doing Social Network Research: Network-based Research Design for Social Scientists. London: Sage
  • Häussler, T. (2017): Heating up the debate? Measuring fragmentation and polarisation in a German climate change hyperlink network. Social Network. https://doi.org/10.1016/j.socnet.2017.10.002
evaluation of teaching
Details reference subject
module nameApplied Social Network Analysis for Communication Research
examination number2500431
credit points6
SWS6
on-campus program (h)67.5
self-study (h)112.5
obligationobligatory module
examalternative examination performance
details of the certificate

Frequent and active participation during class and research presentation – Preparing a Term Paper

link to Moodle course
teacher
signup details for alternative examinations

Dieses Modul enthält mindestens eine alternative semesterbegleitende Abschlussleistung. Bitte beachten Sie, dass diese in der Regel schon zu Beginn des Semesters, in dem diese angeboten wird, angemeldet werden muss.
Über die Details und Zeiträume dazu werden Sie vom Lehrenden und/oder dem Prüfungsamt informiert. Fragen Sie gegebenenfalls unbedingt beim Lehrenden nach.

This module contains at least one alternative exam part. Please note that this must usually be registered at the beginning of the semester in which it is offered.
The lecturer and/or the examination office will inform you about the details and time periods. If necessary, be sure to ask the lecturer.

maximum number of participants30
Details in degree program Master Medien- und Kommunikationswissenschaft/Media and Communication Science 2013
module nameApplied Social Network Analysis for Communication Research
examination number90378
credit points6
on-campus program (h)22
self-study (h)158
obligationelective module
exammultiple performances
details of the certificate

Frequent and active participation during class and research presentation – Preparing a Term Paper

link to Moodle course
signup details for alternative examinations
maximum number of participants