Infopaket

Social Networks Analysis

ОК14

Обов’язкова дисципліна для ОП

Second

2021/2022

3 Semester

4

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.

Full-time form

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.

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

Required 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/ Optional 1. Barabási A. L. Bursts: the hidden patterns behind everything we do, from your e-mail to bloody crusades. - Penguin, 2010. 2. Granovetter The Strength of Weak Ties. American journal of sociology, 1973. Volume 78 Number 6 3. Encyclopedia of social networks / Barnett George A., ed. - Sage Publications, 2011. 4. Knoke D., Yang, S. Social network analysis. London: SAGE, 2019.

Lectures, seminars, students’ work

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)

english