|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|
A master level course.
Basic level of Statistics.
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).
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).
In-class lectures; case-study analysis; usage of Social Network Analysis software (Ucinet and R).