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Retour à Réseaux sociaux et économiques : modèles et analyse

Avis et commentaires pour l'étudiant pour Réseaux sociaux et économiques : modèles et analyse par Université de Stanford

472 notes
96 avis

À propos du cours

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: You can find a short introductory videao here:

Meilleurs avis


Nov 02, 2017

Really enjoyed this course. The professor is really good and covers quite a lot of ground during the lectures. Good way to get into complex networks! Probably gonna do some studying on my own now :)


Aug 09, 2016

Very good course on Social Networks, and also a hard one even for graduate level. Generally assignments are not too tough but fully understanding all the concepts take lots of extra readings.

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1 - 25 sur 92 Examens pour Réseaux sociaux et économiques : modèles et analyse


Apr 30, 2017

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.

par Sebastián F

Dec 22, 2018

Very nice and useful course.

par Vikram D K

Apr 24, 2017

Lucidly taught by Prof. Jackson. I learned a whole deal of stuff that helps me make sense of some of the literature in economics that uses ideas from network analysis. My background is in economics (Master's degree).

par Wuqiong F

Nov 07, 2016

Excellent. Completely changed how I perceive the world.

par Venkatraman R

Aug 10, 2017

Exceptional Course and very good teaching !!!

par John B

Sep 10, 2017

Wonderful course

par Junchao M

Nov 08, 2017


par anubhav g

Aug 12, 2016

A great course which gives an overall idea regarding the tools required to study networks and its applications.

par Andy P

Oct 18, 2016


par Avi C

Sep 04, 2016

The course is a helpful first step in the field of network science. Presenting clearly many complex ideas that are important for understanding current research.

par Prohnițchi V

Jun 21, 2017

An excellent and very useful course. Recommend with no reserves to anyone willing to understand the world from a well structured perspective

par Nidhi S

Oct 08, 2016

A beautiful course that is mathematically rigorous and requires great understanding. Thank you :)

par Maurice V

Jul 11, 2017

Challenging, thrilling and extremely helpful!


Apr 26, 2017

excelente curso!! muy practico y sumamente útil. gracias!

par Ancil C

Jan 15, 2018

Enjoyed the course. The concepts are clear and the subject is interesting. For those looking at this course, please note that this is meant for advanced students, mainly at the graduate level, who are looking into this topic for potential research purposes.

par Prokopios G

Sep 18, 2016

Excellent course. The material is very well presented. You get the chance to understand the intuitions behind many concepts relating to SNA in a very systematic manner. Can serve as a good basis for M.Sc or Phd level students that are interested to explore this area. The evaluation process is really well defined and the length of course is really appropriate.



par 李楠楠

Feb 13, 2017

Easier to understand network structure, utilities, equilibrium after illustration. Interesting and attracting course to take.

par Damian C

Nov 21, 2016

Very interesting and comprehensive coverage of networks.

par Sandeep R

May 20, 2017

Amazing Course. A must of all research scholars interested in Social Networks

par Paul R

Nov 06, 2016

Great course!

It's a theoretical course and it's definitely harder than many of the other courses offered on Coursera. The quizzes and final exam are definitely doable but understanding everything perfectly is not an easy task. The professor is very clear. I highly recommend this course.

par swapnil s

Oct 12, 2016


par jaderne H

Jul 09, 2018

Very interesting and well presented course .

par Desiree D

Nov 08, 2016

Matt, is awesome. Exercises are helpful so you can get the basics of what you need to learn. Also, complementary lectures and videos for advanced students are very helpful. I think there should be a follow up course to get an understanding on current research. So exciting!

par Carlos J D

Aug 16, 2016

Nice course, well paced, great teacher!

par Hakobyan Z

Oct 20, 2017