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.
Offert par
Réseaux sociaux et économiques : modèles et analyse
Université de StanfordÀ propos de ce cours
Compétences que vous acquerrez
- Social Network
- Game Theory
- Network Analysis
- Network Theory
Offert par

Université de Stanford
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
Programme de cours : ce que vous apprendrez dans ce cours
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.
Avis
- 5 stars84,93 %
- 4 stars12,70 %
- 3 stars1,47 %
- 2 stars0,14 %
- 1 star0,73 %
Meilleurs avis pour RÉSEAUX SOCIAUX ET ÉCONOMIQUES : MODÈLES ET ANALYSE
Great survey course for social network analysis. Dr. Jackson's lectures motivated me to buy the book, and I hope to come back to this course later to work more on the optional parts.
Professor Jackson is very clear and insightful! Loved his style of teaching. I hope more Economics professors were such good teachers as him.
An overview of concepts and models of how networks form. There are applicable with basic concepts from probability theory, statistics, and some light calculus astonishingly well.
A very usefull course very different from others. Although for coursera standars, its very extensive and not so basic, that´s why I think its great
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