Social Networks Analysis
Course: Sociology
Structural unit: Faculty of Sociology
Title
Social Networks Analysis
Code
ОК16
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
4
Learning outcomes
1.1 Knowledge of essential SNA concepts, measures, methods and SNA potential in research of social interactions
1.2 Knowledge of specificity of social network research planning and peculiarities of using network analysis methods
2.1 Plan, select appropriate data collection and analysis methods, and conduct social network research
2.2 Perform of network data collection and analysis
2.3 Perform analysis of networks in programming environments Pajek, Gephi, R or UCINET
Form of study
Full-time form
Prerequisites and co-requisites
1. Knowledge of basic methods of data collection and analysis
2. Computer intermediate skills
3. English level to read professional literature and comprehend lecture materials
Course content
Analysis of networks in research of social processes (SNA)
1. Theoretical concepts and methodological foundations of SNA
2. Basic properties and metrics of social networks
3. Centrality measures in SNA
SNA application in sociological research: collecting and processing network data
4. Research design, network data collection and processing
5. Methods of network analysis
6. Analysis of networks in programing environments Pajek, Gephi, R or UCINET
Recommended or required reading and other learning resources/tools
1. Borgatti S., Everett M., Johnson J. Analyzing Social Networks. London: SAGE, 2018.
2. Luke D. A Users Guide to Network Analysis in R. Springer, 2015.
3. Wasserman S., Faust K. Social Network Analysis. Cambridge: Cambridge University Press, 1994.
4. de Nooy W., Mrvar А., Batagelj V. Exploratory social network analysis with Pajek: Revised and expanded edition for updated software. Cambridge: Cambridge University Press, 2018.
5. Gephi Tutorials: Learn how to use Gephi. URL: https://gephi.org/users/
6. Barabási A. L. Bursts: the hidden patterns behind everything we do, from your e-mail to bloody crusades. - Penguin, 2010.
7. Granovetter The Strength of Weak Ties. American journal of sociology, 1973. Volume 78 Number 6
8. Encyclopedia of social networks / Barnett George A., ed. - Sage Publications, 2011.
9. Knoke D., Yang, S. Social network analysis. London: SAGE, 2019.
10. Models and Methods in Social Network Analysis. Cambridge: Cambridge University Press, 2005
Planned learning activities and teaching methods
Lectures, seminars, students’ work
Assessment methods and criteria
1. Practical tasks for topic 1, topic 2, topic 3, PH 1.1, PH 1.2, = 10 points / 6 points
2. KR 1 for topic 1, topic 2, topic 3, PH 1.1, PH 1.2, = 10 points / 6 points
3. Practical tasks for topic 4, topic 5, topic 6, PH 2.1, PH 2.2, PH 2.3 = 10 points / 6 points
4. KR 2 for topic 4, topic 5, topic 6, PH 2.1, PH 2.2, PH 2.3 as an analytical report on social networks research, presentation and network data file, PH 1.1, PH 1.2, PH 2.1, PH 2.2, PH 2.3 = 30 points / 18 points
Final evaluation:
Exam PH 1.1, PH 1.2, PH 2.1, PH 2.3 = 40 points (maximum) / 24 points (minimum to pass)
Language of instruction
english
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline