• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • А
  • А
  • А
  • А
  • А
Обычная версия сайта

Магистерская программа «Прикладная экономика»

Social and Economic Networks: Models and Analysis

2019/2020
Учебный год
ENG
Обучение ведется на английском языке
3
Кредиты
Статус:
Курс по выбору
Когда читается:
2-й курс, 2 модуль

Программа дисциплины

Аннотация

The course is taught on educational online platform “Coursera.org”, https://www.coursera.org/learn/social-economic-networks, Stanford University. 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? 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.
Цель освоения дисциплины

Цель освоения дисциплины

  • 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?
Содержание учебной дисциплины

Содержание учебной дисциплины

  • Introduction, Empirical Background and Definitions
    Examples of Social Networks and their Impact, Definitions, Measures and Properties: Degrees, Diameters, Small Worlds, Weak and Strong Ties, Degree Distributions
  • Background, Definitions, and Measures Continued
    Homophily, Dynamics, Centrality Measures: Degree, Betweenness, Closeness, Eigenvector, and Katz-Bonacich. Erdos and Renyi Random Networks: Thresholds and Phase Transitions
  • Random Networks
    Poisson Random Networks, Exponential Random Graph Models, Growing Random Networks, Preferential Attachment and Power Laws, Hybrid models of Network Formation.
  • Strategic Network Formation
    Game Theoretic Modeling of Network Formation, The Connections Model, The Conflict between Incentives and Efficiency, Dynamics, Directed Networks, Hybrid Models of Choice and Chance.
  • Diffusion on Networks
    Empirical Background, The Bass Model, Random Network Models of Contagion, The SIS model, Fitting a Simulated Model to Data.
  • Learning on Networks
    Bayesian Learning on Networks, The DeGroot Model of Learning on a Network, Convergence of Beliefs, The Wisdom of Crowds, How Influence depends on Network Position..
  • Games on Networks
    Network Games, Peer Influences: Strategic Complements and Substitutes, the Relation between Network Structure and Behavior, A Linear Quadratic Game, Repeated Interactions and Network Structures.
Элементы контроля

Элементы контроля

  • Online tests (неблокирующий)
  • Final interview (неблокирующий)
Промежуточная аттестация

Промежуточная аттестация

  • Промежуточная аттестация (2 модуль)
    0.3 * Final interview + 0.7 * Online tests
Список литературы

Список литературы

Рекомендуемая дополнительная литература

  • Nan Lin. (1999). Social Networks and Status Attainment. Annual Review of Sociology, 25, 467. https://doi.org/10.1146/annurev.soc.25.1.467