Бакалавриат
2025/2026
Введение в сетевой анализ
Статус:
Курс по выбору (Социология)
Кто читает:
Департамент социологии
Где читается:
Факультет социальных наук
Когда читается:
4-й курс, 3 модуль
Охват аудитории:
для всех кампусов НИУ ВШЭ
Язык:
английский
Кредиты:
6
Course Syllabus
Abstract
This course is an introductory course in network analysis, designed to familiarize graduate students with the general concepts and basic techniques of network analysis in sociological re-search, gain general knowledge of major theoretical concepts and methodological techniques used in social network analysis, and get some hands-on experience of collecting, analyzing, and mapping network data with SNA software. In addition, this course will provide ample opportu-nities to include network concepts in students’ master theses work.
Learning Objectives
- The goal of the course is ensure that students understand topics and principles of network analsis.
Expected Learning Outcomes
- Be able to confidently uses available data to test proposed network hypotheses.
- Be able to correctly selects appropriate model / method of network analysis for a given problem.
- Be able to develop a solid network theoretical foundation for the project at hand.
- Be able to explore the advantages and disadvantages of various network analytic tools and methods.
- Be able to integrate network information found from various sources and compensate for lack of data by adjusting models.
- Be able to master advanced research methods, including network methods, without direct supervision, and is capable of using these methods to analyze complex models.
- Have the skill to processe learned information, and integrate learned material into a cohesive research toolchest.
- Have the skills to effectively presents network research ideas to peers, instructors, and general audience.
- Have the skills to expresses network research ideas in English in written and oral communication.
- Know the advantages and disadvantages of various network analytic tools and methods.
- Know the basic principles of network analysis.
- Know the major network modeling programs.
Course Contents
- Introduction
- SNA methodology
- SNA methodology II
- SNA methodology III
- SNA models I
- SNA models II
- Conclusion
Assessment Elements
- 1 presentation with the report(in groups up to 3 people)
- Final project(in groups of up to 3 people)
- Assignments at the seminar - each seminar (7)
Interim Assessment
- 2025/2026 3rd module0.2 * 1 presentation with the report + 0.3 * Assignments at the seminar - each seminar (7) + 0.5 * Final project
Bibliography
Recommended Core Bibliography
- 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
- Kolaczyk E. D., Csárdi G. Statistical analysis of network data with R. – New York : Springer, 2014. – 207 pp.
- Luke, D. A. (2015). A User’s Guide to Network Analysis in R. Cham: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1114415
- Nooy, W. de, Mrvar, A., & Batagelj, V. (2005). Exploratory Social Network Analysis with Pajek. New York: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=138973
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. Oak Park, IL: Bentham Science Publishers. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=694016
- Lazega, E., & Snijders, T. A. B. (2016). Multilevel Network Analysis for the Social Sciences : Theory, Methods and Applications. Cham: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1119294
- Newman, M. (2010). Networks: An Introduction. Oxford University Press, 2010