Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Social networks analysis (17.IZOI92)

Type of studies	Title
Undergraduate Academic Studies	Information Systems Engineering (Year: 4, Semester: Summer)

General information:

Category	Professional-applicative
Scientific or art field	Inženjerstvo informacionih sistema Information-Communication Systems
ECTS	6

The aim of this course is to introduce students to methods and techniques for social network analysis and modeling, that leverage empirical data. Students will learn how to use statistical models for social networks analysis, that focus on interaction between participants/actors, rather than on their attributes.

Upon completing this course, students will be able to pose valid research questions in the domain of social network analysis. They will also be able to -- using an array of techniques, methods and tools for empirical data analysis -- come to conclusions that will provide them with a better insight into processes spanning a given social network and relations between the actors constituting it.

History of social networks and introduction to social network analysis, fundamental concepts (actors, relations), types of social networks, social network representation (graphs, matrices), measures of centrality and power, network segmentation, identification of empirical data sources, empirical data gathering, data transformation, data visualization and interpretation of results.

Lectures, practical classes in specialized classrooms equipped with personal computer systems and software. Students must complete an individual project. Final exam in oral form.

Authors	Title	Year	Publisher	Language
Stephen Borgatti, Martin Everett, Jeffrey Johnson	Analyzing Social Networks	2018	SAGE	English
Charles Kadushin	Understanding Social Networks: Theories, Concepts and Findings	2012	Oxford University Press	English