Social Network Analysis

Education facts

Code: 771A24

<p>This course presents key concepts, measures, and statistical techniques needed for the analysis of relational, social network data using a computational approach. Network concepts such as centrality and brokerage are discussed, and popular measures related to these concepts are reviewed. The course proceeds to computational methods for handling network data, producing network visualizations, and calculating relevant statistics. Statistical models applicable to network data are considered, and tutorials in relevant software tools are provided. Various statistical models for network data are presented and estimated in interactive computer labs involving real data, and methods for simulating network models are implemented.</p>

Entry requirements

180 ECTS credits passed including 90 ECTS credits in one of the following subject areas: social- and natural sciences, engineering, statistics, or mathematics 15 ECTS credits in statistics, computer science, mathematics, or equivalent at advanced level English corresponding to the level of English in Swedish upper secondary education (Engelska 6) Exemption from Swedish

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Social Network Analysis

  Linköping University

  Norrköping

  Start date: 25 January 2027

  End date: 7 March 2027

  Pace of study: 75 %