Statistics 2023/24: Network analysis

The course is carried out in consultation this year. You can learn the material from the slides available in Slovene and English. To complete the course you have to produce reports on three project assignments.

1. Info
2. Description of networks
3. Sources of networks
4. Subnetworks
5. Connectivity
6. Cohesion
7. Acyclic networks and patterns search
8. Two-mode networks and multiplication
9. Clustering and blockmodeling

Besides slides also recordings of my Zoom lectures for MS students at HSE, Moscow in 2020 are available:

1. November 9: MP4
2. November 10: MP4
3. November 12: MP4 A; MP4 B
4. November 16: MP4
5. November 17: MP4
6. November 19: MP4
7. November 20: MP4
8. November 23: MP4
9. November 24: MP4
10. November 26: MP4

The course is based on the program for the analysis of large networks Pajek. It is described in detail in the book Exploratory Social Network Analysis with Pajek. The content of the course overlaps considerably with the second and third chapters of the book Understanding Large Temporal Networks and Spatial Networks.

In addition, we can arrange for a few Zoom meetings to discuss the issues you encountered while studying. In any case, contact me with problems by e-mail vladimir.batagelj@fmf.uni-lj.si

prepare input data for Pajek.
Introduction to the Pajek .net format 1, 2.
Introduction to Pajek 1, 2, 3, food.

• Resources for Network analysis
• Vladimir Batagelj time table
• Interdisciplinary Doctoral Programme in Statistics
• Network analysis

• 2023/24: students
• 2023/24: project 1
• 2023/24: project 2
• 2023/24: project 3

Put the project reports and supporting files into a ZIP and send me an e-mail message that you finished your projects.

Here are some rules about the format of reports.