Though this course confused the heck out of me many times, I have a broad understandings of what networks are and how they can be analyzed and modeled despite enrolling with minimal prior knowledge. I recommend it to anyone interested in analyzing how societies and their members behave and that when it seems difficult you stick it out. Thank you Matthew Jackson!

This is a very good course designed for both beginners and advanced learners of Network analysis. The assignments have been divided into both standard and advanced tasks so that to meet different needs. The organization of it is clear and reasonable. I will recommend everyone who is interested or curious about network analysis to start learning this course!

Although this course is labelled as "advanced", it's really not that hard. You might want to go through the advanced homework questions as well as reading the textbook to get a better understanding about this topic. I can really feel the passion from Prof. Jackson and this really motivates and facilitates my learning.

A must for anyone interested in network analysis, especially students with economic background. I really enjoyed it and so far it is the best course that not only gives you an intro to centrality measures, but provides a gradual immersion into understanding of network formation, dynamics, and outcomes.

The course is super interesting and very well structured. The lengths of videos fit the learner's attention span well. The quizzes during lectures keep learners engaged. Problem sets are very useful tools for reviewing. In all, a big thank you to Prof. Jackson for a wonderful learning experience.

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.

Great course, I'm really grateful for Professor Jackson work in preparing all lectures and tests. I have grasped many practical applications of social network analysis and I would like to gain deeper knowledge of this matter, and specifically about its empirical applications.

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!

This is a great course and I learned a lot. The Professor puts so much effort into this course and the materials it is truly impressive. At this point I have purchased both his books, and will use this material in my strategic business mapping and planning.

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.

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.

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!

Excellent introduction to the world of networks. The course covers the basics in a clear and organized manner. I highly recommend it, and after that you are ready to read the literature of the area. Thank you, very much, Professor Jackson.

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.

This course is quite helpful as network theory can be applied in epidemiology, economics, sociology and even physics. I would recommend this to anyone who wishes to learn how a certain group of subjects act in real world situations.

Great course. Prof. Jackson is fantastic and I enjoyed his lectures. The math is hard, especially if like me you didn't have math beyond high school, but not impossible. Be ready to do some extra work to help figure things out.

This course is amazing, worth it a lot, I learned about game theory, mathematics, sociology. The teacher is very patient , I liked the practice test on Gelphi and the mathematical background in addition real life applications.

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).

Es un curso excelente que permite avanzar y lograr una mejor comprensión en la teoría de redes y las aplicaciones a economía. Si bien tener fundamentos sobre redes puede ser de utilidad, el curso es autocontenido.

Really interesting. there is a lot of material and a lot of formula to be covered and Prof. Jackson does a great job teaching it.

Also, his book is really intesresting and goest deeper than the videoes

Excellent and exciting opportunity get insight into into the interface between the university concept of knowledge of network theory and the scientific approach to this issue. Thanks a lot. Josef Toman

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!!!

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 :)

Dr. Jackson is clear and concise in his explanations and did a great job creating a high-level overview course on a subject for which he obviously has a much greater wealth of knowledge.

Really good course. This professor knows what he's talking about and is a person to aspire to become. I wish the mathematical notation was more standard and consistant.