date_range Débute le 27 mars 2017
event_note Se termine le 22 mai 2017
list 8 séquences
assignment Niveau : Introductif
label Management et Ressources humaines
chat_bubble_outline Langue : Anglais
card_giftcard 14.4 points
- /5
Avis de la communauté
0 avis

Les infos clés

credit_card Formation gratuite
verified_user Certification gratuite
timer 24 heures de cours

En résumé

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. You can find a more detailed syllabus here: http://web.stanford.edu/~jacksonm/Networks-Online-Syllabus.pdf You can find a short introductory videao here: http://web.stanford.edu/~jacksonm/Intro_Networks.mp4

more_horiz Lire plus
more_horiz Lire moins
dns

Le programme

  • Week 1 - 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
  • Week 2 - 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
  • Week 3 - Random Networks
    Poisson Random Networks, Exponential Random Graph Models, Growing Random Networks, Preferential Attachment and Power Laws, Hybrid models of Network Formation.
  • Week 4 - 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.
  • Week 5 - Diffusion on Networks
    Empirical Background, The Bass Model, Random Network Models of Contagion, The SIS model, Fitting a Simulated Model to Data.
  • Week 6 - 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..
  • Week 7 - 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.
  • Week 8 - Final Exam
    The description goes here
record_voice_over

Les intervenants

  • Matthew O. Jackson, Professor
    Economics
store

Le concepteur

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.
assistant

La plateforme

Coursera est une entreprise numérique proposant des formation en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

Quelle note donnez-vous à cette ressource ?
Contenu
0/5
Plateforme
0/5
Animation
0/5

Vous pourriez être intéressé par...