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Regular version of the site

Master class 'Pajek program for analysis and visualization of complex networks'

A MASNA webinar devoted to work in Pajek took place on June 29 for all MASNA applicants and all listeners who are interested in network analysis.

Master class 'Pajek program for analysis and visualization of complex networks'

On June 29 at 19.00 (Moscow time), the online master's program "Applied Statistics with Network Analysis" invited applicants and interested listeners to a webinar, where Daria Maltseva, the head of ANR-Lab, held a master class, presenting the possibilities of network data analysis in Pajek program.

Pajek, being developed by researchers from the University of Ljubljana and ANR-Lab partners Vladimir Batagelj and Andrej Mrvar since 1996, is designed to analyze and visualize large networks (1,000+ nodes). The program is fully available for non-commercial use (Pajek website). In 2013, Pajek received an award from the International Network for Social Network Analysis (INSNA).

At the master class, we learned how to perform basic operations in Pajek in practice:
  • generate a set of network data and modify the resulting networks,
  • calculate the main metrics for individual nodes and the whole network,
  • visualize the resulting networks.
Participants of the master class were be able to practice working in Pajek with the real empirical data collected by the ANR-Lab members.

In the second part of the webinar, Deputy Head of ANR-Lab Irina Pavlova talked about the master's program, the features of admission and education, and summer school hosted by ANR-Lab on July 4-8th, 2023.

The recording of the webinar is available here.

Paiek manual, webinar instructions and materials are available here.