Name Cr Method of study Time Location Organiser
Theme course in sustainable food economy - Technology and Sustainability 5 Cr Lecture Course 1.9.2020 - 24.9.2020
A Changing theme course in Food and Consumer economics 5 Cr Online Examination 5.6.2020 - 5.6.2020
A Changing theme course in Food and Consumer economics 5 Cr Lecture Course 10.3.2020 - 24.4.2020

Target group

A master level course.


Basic level of Statistics.

Learning outcomes

The course offers an overview of an increasingly popular approach for studying social relations: Social Network Analysis (SNA). SNA involves theoretical concepts and analytical techniques to uncover the social relations of individuals and organizations in specific socio-economic and environmental systems. These systems are characterized by interdependencies and complexities: SNA allows to investigate these elements by managing network data. The aim of this course is to provide a theoretical and methodological background of SNA, and illustrating the basic tools for applying SNA to agricultural and environmental topics. At the end of the course, the student will have a working knowledge of the data, methods, and software required to perform SNA.


Teaching period IV


  • History of Social Network Analysis
  • Network data: nodes and relationships; one-mode and two-mode networks; ego networks.
  • Graphs and adjacency matrices: how to manage and visualize network data.
  • Network statistics: actor level and network level.
  • Statistical models: ERGM and longitudinal models.
  • Applications of Social Network Analysis to agricultural and environmental topics.

Activities and teaching methods in support of learning

In-class discussion, articles, case studies. Presentation of the usage of some of the most common software for Social Network Analysis (Ucinet, R).

Study materials

Distributed in class: articles, case studies. Use of real network data from agricultural and environmental case studies in order to apply Social Network Analysis theory.

Handbook: Prell, C. (2012). Social network analysis: history, theory & methodology. SAGE.

Assessment practices and criteria

Attendance not required. However, participants that will attend 80% of the classes will be allowed to present, as final exam, a case-study groupwork (small groups of 3-4 people) that will account for the finale grade. Those that will not be able to attend the course, will have to take a final written exam (scale 1-5).

Completion methods

In-class lectures; case-study analysis; usage of Social Network Analysis software (Ucinet and R).