Computational and Visual Network Analysis

5 credits

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This course provides an introduction to the variety of analytical methods for relational data, i.e., graphs and networks. Such data types are applied for numerous tasks within computer science, software engineering, and other domains such as social sciences, bioinformatics, security, etc.

This course addresses three perspectives: 1) computational network analysis, e.g., automatic identification of the most influential nodes; 2) graph drawing for automatic layout of nodes and edges; and 3) information visualization for interactive representation and exploration of networks and associated data. After finishing the course, the students should be able to choose and develop the most suitable visual network analytic technique for the given task.


Roughly 15 minutes with a bike from the city centre, you will find Linnaeus University’s campus. It is like a small society with the university, student accommodation, and student life. Here you become part of a creative knowledge environment.

What will you come across on an excursion in Växjö – the city of contrasts? You will find good restaurants, a celebrated hockey team, and cozy cafés where you can enjoy a latte with lingonberry flavour. In Växjö, beautiful nature is always just around the corner; the city is surrounded by lakes and forests. Students like the combination of the city centre and the active student life on campus. Your dream of the future starts here!

Students in house M