PhDnet@CAIS. Webinar: Analysis of networks

Webinar

Digital methods: Webinar on using Gephi to analyze networks in Wikipedia

  CAIS, Universitätsstr. 104, 44799 Bochum

  CAIS

» Contact: Dr. Nina Hahne

» Registration: phdnet@cais.nrw.

PhDnet@CAIS. Webinar on using Gephi to analyze networks in Wikipedia

Due to the corona pandemic, PhDnet@CAIS will continue its series on digital methods for doctoral students in the humanities virtually.

The webinar on 26 May 2020 will focus on the analysis of digital data, with Dr. Björn Ross (University of Duisburg-Essen) introducing the use of Gephi to analyze networks in Wikipedia.

First, he will present how article discussion pages on Wikipedia can be used to obtain social networks that illustrate author relationships. He will also address the importing of other network data and the filtering of networks to a manageable size, and show how Gephi can be used to calculate various network metrics and the significance that these metrics have for quantitative and qualitative analyses.

Finally, participants will have the chance to work in small groups and to pool their own experiences of using Gephi in the analysis of networks, with the findings and experiences being brought together and discussed at the end.

Previous knowledge is not required. We will inform you in good time should you need to install any software.

Please register at phdnet@cais.nrw. If you have any questions, please contact Dr. Nina Hahne (nina.hahne@cais.nrw).

Programm

10:00 – 11:00 Uhr
//Begrüßung und Input

 

11:00 – 12:30 Uhr
//Anwendungsphase in Kleingruppen
12:30 – 13:00 Uhr
//Mittagspause

 

13:00 – 14:00 Uhr
//Feedbackrunde und weiterer Input

PhDnet@CAIS is an open network provided by the Center for Advanced Internet Studies (CAIS) that gives long-term support to doctoral students – support that extends even beyond the completion of their dissertation. The network is a forum that allows doctoral students to establish scholarly contacts across subject borders. It organizes events for doctoral students whose projects deal with the social chances and risks of digitalization.