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
        
        
            2024/2025
        
    
            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
        
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