Master
2021/2022
Social Network Analysis
Type:
Elective course (Data Analytics for Politics and Society )
Area of studies:
Political Science
Delivered by:
Department of Sociology
When:
1 year, 3, 4 module
Mode of studies:
distance learning
Online hours:
32
Open to:
students of one campus
Instructors:
Valeria A. Ivaniushina
Master’s programme:
Data Analytics for Politics and Society
Language:
English
ECTS credits:
6
Contact hours:
48
Course Syllabus
Abstract
This course will introduce students to social media analysis and approaches to studying the dynamics of human behavior through the study of social media. The course begins by introducing the basic concepts and motives for modeling social phenomena as a network. Then the characteristics of social networks are considered: connectedness, resilience, centrality and density of networks. Students then move on to study the evolution of social networks, which leads to the question of analyzing the variability of collective behavior. Specific examples will be considered of how social networks can influence social change (the growth of social movements, changes in cultural norms, etc.)
Learning Objectives
- Understanding basic concepts of social network analysis, Understanding how networks can contribute to the explanation of specific social, political, economic and cultural phenomena, Mastering basic skills of working with SNA software Gephi, Pajek, R packages, Acquaintance with biblographic network analysis software VosViewer, CitNetExplorer
Expected Learning Outcomes
- Able to evaluate and revise learned scientific methods and methods of activity.
- Able to independently master new research methods, change the scientific and production profile of their activity.
- Able to retrieve data from open statistical databases, archives, and other public sources.
Course Contents
- Python для сетевого анализа
- Network theory and applications. Network models. Software: Pajek, Gephi, R
Assessment Elements
- Test
- Individual project (written essay) with oral presentation
- In-class Participation
Interim Assessment
- 2021/2022 4th module0.4 * In-class Participation + 0.25 * Test + 0.35 * Individual project (written essay) with oral presentation
Bibliography
Recommended Core Bibliography
- Scott, J. (DE-588)132315661, (DE-576)299070239. (2009). Social network analysis : a handbook / John Scott. Los Angeles [u.a.]: Sage. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edswao&AN=edswao.307646734
Recommended Additional Bibliography
- Kadry, S., & Al-Taie, M. Z. (2014). Social Network Analysis : An Introduction with an Extensive Implementation to a Large-scale Online Network Using Pajek. Bentham Science Publishers.