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

4.8
stars
721 ratings

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

LN

Jul 2, 2021

I was new to network theory but the concepts were very well articulated. A whole new way of looking at what makes social relationships, favor exchange(s) and social networks work. Well worth the time.

AB

Apr 21, 2021

Very well done and explained, full of insight in the social network analysis!!! Lots of ideas about using it in company and team behaviours! Economical analysis of financial contagion is insightful!!!

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126 - 150 of 169 Reviews for Social and Economic Networks: Models and Analysis

By John B

•

Sep 10, 2017

Wonderful course

By Phan T B T T

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May 31, 2021

Great course!!1

By Raya R D

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Dec 3, 2018

greaaaat course

By Богдан

•

Nov 25, 2016

Very intresting

By Anand A R

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Apr 27, 2020

Great Course!

By Mojtaba A

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Oct 27, 2017

Great teacher

By patrick

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Aug 15, 2022

good course

By Antonio C

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Oct 14, 2020

big course

By Christiano F d C

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Oct 4, 2020

Very good!

By Mohammad N C

•

Mar 17, 2021

Excellent

By Pablo E

•

Feb 12, 2018

Excellent

By Zaruhi H

•

Oct 20, 2017

Thanks!

By Swapnil S

•

Oct 12, 2016

Great!!

By Keshore P

•

May 25, 2023

Greats

By Andy P

•

Oct 18, 2016

great!

By anuj

•

May 30, 2017

best

By tanghaolin

•

Oct 11, 2023

666

By David S

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Aug 4, 2022

This is a fascinating and stimulating course in which I learned enough to make my brain overheat at the end of every session. It's heavy for the non-mathmetician, but you just have to struggle to keep up when the going gets numerically tough. My one gripe is that it leans too far towards formulas, and not enough to real-world examples and application. For example, in Week 6 admist the equations, there was suddenly a look at how it applies to drop-out rates in the labour market. That was all too brief, and more of this would really lift the course. Jackson really knows his onions however and is an interesting and sympathetic tutor.

By Stylianos T

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Feb 24, 2017

A very good introduction in social and economic networks.

I recommend this course to everyone that wants to learn how networks are formed, understand the basic concepts and get an intuition on the possible networks that he/she could form.

The professor is talking clearly so you won't have a problem in understanding him.

One thing that was missing for me was in Week 2 when he was talking about "eigenvector centrality", for me the most objective measure, the explanation was really poor and you could never understand the concept based on what the lesson offered.

By Krista M

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Aug 21, 2018

The chemistry disciplinary knowledge cautions the utilization of the idea of diffusion because diffusion in chemistry is more of systematic random process then the idea of diffusion in this lecture. If you could enhance and clarify the Week 4 lecture of the Praeto Efficiency, Utility, and Pairwise in additional examples the brevity of the lecture could build the idea into a few slides to sharpen the idea earlier. Think about adding more examples of the Centrality examples, I thought the Centrality was interesting.

By Carlson O

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Apr 22, 2017

Very comprehensive as an introductory course. The content is very actual and the lectures' flow is objective. Also, I liked the quiz inside the lectures as they helped in retain the subject. I have some hard difficulties with the mathematics as I'm very rusty with the mathematics (more than 30 years of rust). I'm from the compute science area so I would like to see more practice in algorithms. However, I would like to congratulate the Stanford University and Cousera teams for the course. Great job.

By Fernando I P M

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Aug 3, 2020

Buen curso en general. Sin embargo, podría estar más actualizado en términos de aplicaciones para el año 2020. Especialmente en trabajo con datos. Además, algunas evaluaciones adolecen de elementos que no están contenidos en el material, y si bien uno puede intuir a aplicar la teoría bajo otros contextos, muchas veces los resultados no son tan intuitivos, quedando algunas dudas respecto a esos contenidos más que clarificar dicho tópico.

By Alejandro A R

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Jul 15, 2018

Greatly insightful and resourceful content for future research. As a recent university graduate interested in graduate school I found the course challenging meaning determination and consistency contributed to the successful completion of the course. Rewatching lectures and seeking external support helped me comprehend concepts through application.

By Gianmarco C

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May 4, 2020

Very interesting course, I raccomand it. It gives me a lot of notions and different view of networks, even if I'm already working with them. Very notable also the lot of references by which you can expand your knowledge and look for all the details of the field you are interested in.

Keep attention on the level, it is not for beginners :)

By Felipe O G C B

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Aug 25, 2016

It's a quiet complex topic in general terms. It is well covered, but In my opinion there should be at least an exercise per video, explaining something similar to the in-video questions. It should have a demonstrative part rather than just talking about it and showing the formula.