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.
Social and Economic Networks: Models and Analysis
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.
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SOCIAL AND ECONOMIC NETWORKS: MODELS AND ANALYSIS からの人気レビュー
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 :)
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.
Excellent course. The labs are the best. Pajek and Gephi will be handy for network graphing and analyzing data. Thank you Professor Matthew Jackson. Your work is very good for reference.
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.
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.
The course is vast. The Professor is to the point and doesn't lack knowledge in his field.\n\nI'd recommend this course for anyone interested in Economics. Loved it.
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.
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.
A very usefull course very different from others. Although for coursera standars, its very extensive and not so basic, that´s why I think its great
Fantastic course! Compelling examples of application and an enthusiasm for the concepts that is contagious. Would love more from Prof. Jackson!
Professor Jackson is very clear and insightful! Loved his style of teaching. I hope more Economics professors were such good teachers as him.
An excellent and very useful course. Recommend with no reserves to anyone willing to understand the world from a well structured perspective
I really enjoyed taking this course. I learned a lot and I am sure in future I am going to use a lot of these concepts in my research.
Very complex topic, very well presented. The materials are great! Would have been better to made mathematics pre-requisite clearer.
The course is exceptional, I just wish the instructor would also include chapters that could help researchers in the field.
It was really useful. The instructor was clear and the videos and slides are good. I enjoyed empirical exercise a lot.
A great course which gives an overall idea regarding the tools required to study networks and its applications.
A beautiful course that is mathematically rigorous and requires great understanding. Thank you :)
Good introduction to the topic! Assignments were helpful as well as optional lecture videos.
Great course by Matt Jackson, who is one of the leading scholars in this area! Thanks!