Магистратура
2021/2022
Социально-экономические сети: модели и анализ
Статус:
Курс по выбору (Управление в социальной сфере)
Направление:
38.04.04. Государственное и муниципальное управление
Кто читает:
Институт социальной политики
Где читается:
Институт социальной политики
Когда читается:
2-й курс, 1 модуль
Формат изучения:
с онлайн-курсом
Онлайн-часы:
25
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Селезнева Елена Владимировна
Прогр. обучения:
Управление в социальной сфере
Язык:
английский
Кредиты:
3
Контактные часы:
2
Course Syllabus
Abstract
The course shows how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions. The course begins with some empirical background on social and economic networks, and an overview of concepts used to describe and measure networks. Next, we will cover a set of models of how networks form, including random network models as well as strategic formation models, and some hybrids. We will then discuss a series of models of how networks impact behavior, including contagion, diffusion, learning, and peer influences. The course is taught on educational online platform “Coursera.org”, https://www.coursera.org/learn/social-economic-networks, Stanford University.
Learning Objectives
- Learn how to model social and economic networks and their impact on human behavior.
- How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors?
Expected Learning Outcomes
- Know what meens Social Networks and their Impact, Definitions, Measures and Properties
Course Contents
- Introduction, Empirical Background and Definitions
- Background, Definitions, and Measures Continued
- Random Networks
- Strategic Network Formation
- Diffusion on Networks
- Learning on Networks
- Games on Networks
Assessment Elements
- Online tests
- Final interviewFinaloral interview is held on Zoom
- Online tests
- Final interviewFinaloral interview is held on Zoom
Bibliography
Recommended Core Bibliography
- Robins, G., Koskinen, J., & Lusher, D. (2012). Exponential Random Graph Models for Social Networks : Theory, Methods, and Applications. Cambridge: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=498293
- SULA, O., & ELENURM, T. (2018). Comparing Online Social Networks Ties as Tool for Entrepreneurial Learning Readiness in Small Economies. Informatica Economica, 22(3), 62–74. https://doi.org/10.12948/issn14531305/22.3.2018.06
Recommended Additional Bibliography
- McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). BIRDS OF A FEATHER: Homophily in Social Networks. Annual Review of Sociology, 27, 415. https://doi.org/10.1146/annurev.soc.27.1.415
- Nan Lin. (1999). Social Networks and Status Attainment. Annual Review of Sociology, 25, 467. https://doi.org/10.1146/annurev.soc.25.1.467