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Back to Social and Economic Networks: Models and Analysis

Learner Reviews & Feedback for Social and Economic Networks: Models and Analysis by Stanford University

4.8
stars
546 ratings
117 reviews

About the Course

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...

Top reviews

MR

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 :)

SW

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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51 - 75 of 113 Reviews for Social and Economic Networks: Models and Analysis

By John J E V

Jun 11, 2020

Excelent course, I would like to continue learning about economic networks analysis.

By Miguel R S

Apr 12, 2017

Thank you so so much for doing this. One step at a time towards universal education.

By Apostolos A

Aug 28, 2019

Concise and full of useful information. Helped me a lot in my thesis preparation.

By Kajal G

Nov 04, 2019

Amazing course, one can learn a lot about network structures and their patterns.

By Mikhail K

Nov 26, 2017

Extremely interesting and very well presented course. Many thanks to Matthew!!!

By Cailean O

Jan 30, 2018

Professor Jackson explains the concepts very clearly; great course. Thank you!

By Sandeep R

May 20, 2017

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

By Lorenzo M L

Jun 14, 2020

This course opened my eyes to an entire discipline. Very interesting! Thanks

By Maik S

Oct 09, 2019

I like that this course is build upon a textbook. Makes it easy to follow.

By Benjamin P

Jan 06, 2020

Excellent course and lecturer. I am forever grateful for this experience.

By Abel V

Jan 23, 2018

Excelente curso, con un muy buen balance entre la teoría y la aplicación.

By Gubanov A

Jul 03, 2019

The course is very useful. The teacher is great also, thank's a lot.

By Adarsh M

Feb 05, 2018

Wish we had projects to work on. Excellent theory material though.

By Junchao M

Nov 08, 2017

非常好的理论课,听完对复杂网络在经济社会中的应用有一个非常general的理解,希望可以加入一些coding案例来帮助理解。

By ANIBAL H B

Apr 26, 2017

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

By Damian C

Nov 21, 2016

Very interesting and comprehensive coverage of networks.

By Wuqiong F

Nov 07, 2016

Excellent. Completely changed how I perceive the world.

By Bahar R

May 28, 2020

great course for grad students and young scholars

By Herbaut J P M

Jul 16, 2019

Excellent expérience ! Thanks You.

Herbaut Julien

By Mansimran S A 1

Oct 01, 2018

a very good excellent on social network analysis

By Листопад П М

Oct 23, 2016

Отличный курс, дает полное представление о теме.

By Yadnesh S

Nov 04, 2018

Provides an in depth knowlledge about topics.

By Venkatraman R

Aug 10, 2017

Exceptional Course and very good teaching !!!

By Maurice V

Jul 11, 2017

Challenging, thrilling and extremely helpful!

By jaderne H

Jul 09, 2018

Very interesting and well presented course .