9 August 2014
Introduction to Network Analysis using Pajek
The course aims to provide an introduction into the main topics and concepts of social network analysis. It focuses on the analysis and visualisation of complete networks. Participants will get an understanding of basic network analysis concepts like centrality, cohesion, blockmodeling, etc. Special attention will be given to the analysis of large networks. After the course participants should be able to examine data in ’social networks way’ – they should be able to identify and formulate their own network analysis problems, solve them using network analysis software and interpret the obtained results. The course is supported by Pajek – a program for analysis and visualisation of large networks.
Participants need to have basic knowledge of mathematics (set theory notation, computation with matrices and vectors) and statistics. Basic familiarity with at least one statistical package (R or SPSS) can be helpful. Participants are expected to attend computer labs daily, where the software package Pajek will be used. During the lab hours, students will perform several network analyses on different small and large networks individually. Basic computer literacy (text editor, spreadsheet tool (Excel), word processing tool (Word or LaTeX), archiving tool (ZIP)) is expected.
To obtain the full five ECTS credits available, participants must complete their course, which includes a project assignment and an exam, on 9 August 2014. Participants who do not sit the exam can still obtain three ECTS credits by completing the project assignment. Participants who sit the exam but choose not to complete the project assignment can obtain two ECTS credits.
EUR 925: ECPR member
EUR 1250: ECPr non-member