Магистратура
2026/2027
Продвинутые методы сетевого анализа в Pajek
Статус:
Курс по выбору (Аналитика данных и прикладная статистика / Data Analytics and Social Statistics)
Где читается:
Факультет социальных наук
Когда читается:
1-й курс, 4 модуль
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
3
Контактные часы:
28
Course Syllabus
Abstract
This course is an advanced network analysis course, designed for master's programme students who are familiar with concepts and basic techniques of network analysis in applied context with Pajek software aimed for analysis and visualization of the large network data. The course provides an advanced view of social network analysis covering all basic sections of SNA methodology. In addition, this course will provide ample opportunities to include network concepts in students’ master theses work.
Learning Objectives
- The main goal of the class is to help students, who are already familiar with network theory and methods, to use the integrated systems thinking approach to create theoretically driven, methodologically sound research projects
- The course gives students an important foundation to develop and conduct their own research as well as to evaluate research of others.
Expected Learning Outcomes
- Be able to identify a network analysis method that is appropriate for a research problem.
- Be able to work with network data, especially in Pajek program, so that they can use them and interpret their output.
- Be able to develop and code the appropriate network visualization to answer the stated research question.
- Have an understanding of the advantages and disadvantages of various network analysis methods, and demonstrate how they relate to other methods of analysis.
Course Contents
- Sources of networks
- Subnetworks
- Connectivity
- Cohesion
- Acyclic networks and patterns search
- Two-mode networks and multiplication
- Clustering and blockmodeling
- Network description
Bibliography
Recommended Core Bibliography
- Advances in social network analysis : research in the social and behavioral sciences, , 1994
- Carrington, P. J., Scott, J., & Wasserman, S. (2005). Models and Methods in Social Network Analysis. Cambridge: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=132264
- Exploratory social network analysis with Pajek, Nooy de, W., 2018
- Jeremy Boissevain, & J. Clyde Mitchell. (2018). Network Analysis : Studies in Human Interaction (Vol. Reprint 2018). Berlin/Boston: De Gruyter Mouton. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1926819
- Nooy, W. de, Batagelj, V., & Mrvar, A. (2011). Exploratory Social Network Analysis with Pajek: Vol. Rev. and expanded 2nd ed. Cambridge University Press.
- 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
- Social network analysis : a handbook, Scott, J., 2000
- Social network analysis : methods and applications, Wasserman, S., 2009
- Social network analysis for ego-nets, Crossley, N., 2015
- The SAGE Handbook of Social Network Analysis, , 2011
- Wasserman, S., & Faust, K. (1994). Social Network Analysis : Methods and Applications. Cambridge: Cambridge eText. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=490515
- What is social network analysis?, Scott, J., 2012