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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: Isard D•
May 16, 2019
Thank you so much for a wonderful introduction to social and economic networks. Your lectures were wonderful. Your choice of topics was superb and your top-notch pedagogical skills show through when you explain difficult concepts with disarming simplicity. I had no idea that your course will be so enjoyable. Thank you for introducing me to this fascinating subject. Now, at least I have some rudimentary understanding of this field and will dig further to incorporate networking tools in my research.
The videos are high quality and it is such a blessing to have the replay option. The cure for senior moments is to use replays. I can't wait for your followup: advanced topics in networking. Thanks, Isi
교육 기관: 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.
교육 기관: 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.
교육 기관: Ajinkya K•
Oct 24, 2017
A great course for anyone interested in learning about networks and social interactions. This course is ideal for a wide range of audience, from someone looking for an overview and introduction to networks to someone looking for a deep dive into networks and applying it to their research. Matt is a great communicator and presents the ideas in an intuitive fashion , had a great time doing all his material. Thank you Stanford and Matt Jackson for this amazing experience.
교육 기관: Llewellyn P•
Apr 17, 2019
Great presentation of a variety of materials. There could have been some more details in terms of fully understanding some of the details, calculations, etc. You see this in the comments where folks struggle to be sure how the calculations are made. So that takes time and maybe the book as some of that. But all in all, just a great way to get introduced to some exciting work being done leveraging graphs.
교육 기관: 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.
교육 기관: 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.
교육 기관: EKATERINA A•
Nov 25, 2019
Excellent course! The course exceeded my expectations. It takes you beyond the basics of social network analysis, but does it very gently. I enjoyed the content, the way it is given, the variety of levels on which you could stay while studying (from absolute beginner to rather advanced learner) and the teacher's expertise (as well as his sense of humor). Thank you, Matt!!!
교육 기관: Prokopios G•
Sep 18, 2016
Excellent course. The material is very well presented. You get the chance to understand the intuitions behind many concepts relating to SNA in a very systematic manner. Can serve as a good basis for M.Sc or Phd level students that are interested to explore this area. The evaluation process is really well defined and the length of course is really appropriate.
교육 기관: Benjamin K•
May 20, 2017
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!
교육 기관: Tongtong H•
Dec 05, 2016
Excellent course for both advanced micro theory PhD learners who wants to go deep into the prove and master (and up) level learner who wants to have a flavour of Network Theory. Professor Jackson is great in interpreting the intuition behind the theory and prove. This 8 weeks are great learning experience for me!
교육 기관: Paul R•
Nov 06, 2016
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.
교육 기관: Desiree D•
Nov 08, 2016
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!
교육 기관: Ralph L R B P•
Dec 25, 2019
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.
교육 기관: 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.
교육 기관: Ancil C•
Jan 15, 2018
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.
교육 기관: 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!
교육 기관: Manuel S•
Jul 09, 2019
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.
교육 기관: 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.
교육 기관: Digant S•
Jun 14, 2017
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.
교육 기관: zuselcursos•
Nov 20, 2017
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.