Zurück zu Social and Economic Networks: Models and Analysis

4.8

454 Bewertungen

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93 Bewertungen

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...

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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von Taras Z

•Dec 02, 2018

Good introduction to the topic! Assignments were helpful as well as optional lecture videos.

von Rijul K

•Dec 03, 2018

greaaaat course

von kazuyuki h

•Dec 27, 2018

This lecture is a Great Introduction to Economic Networks.

Good point 1, many applications to economics research.

Good point 2, nice intuitive explanation to the notion of networks.

Note that MIT open course about Network can be complementary to this lecture.

von HEF

•Apr 15, 2019

Challenging but worthwhile. So amazing that it took me to analyse things from a completely new perspective. I felt much more sophisticated in modeling things like economics, sociology, politics and epidemics, just to name a few. The course is well organized from simple basics in the first few weeks to the more advanced models in the later half. The quiz style is also very friendly to help me review the important concepts, and also try out softwares like Gephi and Pajek.

von Sebastián F

•Dec 22, 2018

Very nice and useful course.

von David C

•Jul 12, 2018

Very interesting and applicable subject matter taught in a very engaging way. Prof. O'Jackson is clearly incredibly capable in network analysis and game theory and he teaches the concepts in a remarkably concise and understandable manner.

von Yuze J

•Aug 28, 2018

The topic is quite interesting and Professor explains the concepts and theories in a quite understandable way. It is easy to follow the contents and offers me with a basic idea of the modeling of network effect. A very help course and highly recommend!

von Margarita R C G

•Oct 18, 2018

Great course! Teacher gave very good explanations. Examples are very useful. I would love to take a more advanced course of social and economic networks.

von Ignacio O

•Oct 04, 2018

Awesome course with lots of applications!

von Yadnesh S

•Nov 04, 2018

Provides an in depth knowlledge about topics.

von Noah J W

•Nov 17, 2018

A very comprehensive course, taught in a very engaging manner by a top-caliber researcher and professor. An improvement would be adding a separate problem set for each lecture topic, to more thoroughly test specific understanding immediately after the teaching. Also, some of the Gephi instructions were not quite clear enough.

Getting Prof. Jackson's book as a companion to this course is very useful.

von Paolo B

•Sep 30, 2018

Excellent Course! Clear videos with many motivated problem sets. The advanced problem sets are exactly like university problem sets. Do be aware that sometimes parts of proofs are omitted or only touched on briefly to get to the main teaching points - these moments are made clear in lectures. While I enjoyed the practical exercises I did feel that extensions to these exercises are warranted.

von Mansimran S A

•Oct 01, 2018

a very good excellent on social network analysis

von pranav n

•Sep 05, 2018

needs more practical exercises

von Jess B

•Jul 14, 2017

I got a lot out of the course. However, there are still several concepts I'm really, really fuzzy on, such as Pareto efficiency, games on networks, Nash stability, & strategic complements/substitutes. I've already directly applied the lessons from the course to work I'm doing, but it's frustrating that there isn't some kind of office hours or way to sit down with someone and go through these concepts one step at a time. I get the general concept of all of them, but I look at some things and end up at different conclusions because I'm missing something. That's not a statement about this course, it's just the reality of taking online courses. I know if I could walk through it and see where the logic is off, I'd get it better.

von anuj

•May 30, 2017

best

von Laurent G

•Mar 01, 2018

Prof. Jackson is an outstanding teacher, and I very much enjoyed this course. I come from a probability background (PhD) but never looked at graphs or networks before. I thought that the course was very well made, with a perfect balance between theoretical concepts and practical applications. I also think that Prof. Jackson's treatment of mathematical concepts is entirely optimal given the diverse audience he most likely has: it is technical, but definitely not going into the more formal details you would get in a math course. I think this is great, because for the more math-oriented people it's just an occasion to look up some references, or think about a more formal way of expressing the concepts in question, while it does not overwhelm those who don't want to go through a bunch of existence theorems. By all counts, an outstanding course.

von Abel V

•Jan 23, 2018

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

von Omar J

•Jul 07, 2018

An excellent walkthrough of the literature. I just wish there were more empirical exercises and and more hands-on work with the data and algorithms.

von Michael G

•Apr 17, 2018

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.

von Alejandro M M

•May 30, 2017

Matt is the simple the best! We've covered a lot of different models and examples. Probably the best networks course that you can take.

von Mikhail K

•Nov 26, 2017

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

von THANACHON C

•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.

von Bei C

•Nov 30, 2017

Thank you Professor, your course is extremely useful for my research work in Social Network.

von Mojtaba A

•Oct 27, 2017

Great teacher

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