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Foto: Matthias Friel

Social Network Analysis Seminar - Einzelansicht

Veranstaltungsart Seminar Veranstaltungsnummer 436411
SWS 2 Semester SoSe 2021
Einrichtung Wirtschaftswissenschaften   Sprache englisch
Belegungsfrist 06.04.2021 - 10.05.2021

Belegung über PULS
Gruppe 1:
     jetzt belegen / abmelden
    Tag Zeit Rhythmus Dauer Raum Lehrperson Ausfall-/Ausweichtermine Max. Teilnehmer/-innen
Einzeltermine ausblenden
Seminar Do 10:00 bis 12:00 wöchentlich 15.04.2021 bis 22.07.2021  Online.Veranstaltung Dr. Baumann   15
  Bemerkung: individual appointments
  • 15.04.2021
  • 22.04.2021
  • 29.04.2021
  • 06.05.2021
  • 20.05.2021
  • 27.05.2021
  • 03.06.2021
  • 10.06.2021
  • 17.06.2021
  • 24.06.2021
  • 01.07.2021
  • 08.07.2021
  • 15.07.2021
  • 22.07.2021

Barabási, A. L. (2013). Network science. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences371(1987), 20120375.


All sessions of the seminar will be held online.

More information (including the Zoom details for the sessions) can be found on Moodle.



Students will be required within the seminar to create and analyze a (social) network on their own. Some basic programming skills are helpful but are not necessary as students can chose which tool(s) to use.


Presentations & Seminar Paper


In our intertwined world, everyone and everything is connected with each other. A theory, commonly known as "Six Degrees of Separation" or "Small World Phenomenon", postulates that every human being in this world is connected to any other person through only very few others. An experiment performed by the psychologist Stanley Milgram in 1967 was able to show that this phenomenon seems to be true indeed. Nowadays, platforms such as Social Media do make it even easier to investigate the underlying social structures with large-scale datasets being readily available. However, networks do not only form the underlying basis in the case of Social Media platforms but they are almost everywhere we look.
In the Seminar "Social Network Analysis" students will get to learn some basic underlying graph theory, work with scientific papers using networks to investigate research questions, and work on a network-based project on their own.

Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester SoSe 2021 , Aktuelles Semester: SoSe 2024