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.
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!!!
创建者 Stylianos T•
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.
创建者 Krista M•
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.
创建者 Carlson O•
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.
创建者 Fernando I P M•
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.
创建者 Alejandro A R•
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.
创建者 Gian M C•
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 :)
创建者 Felipe O G C B•
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.
创建者 Mateus d C C•
Jan 19, 2021
Great course, a bit complicated sometimes. The course is very structured and the classes are ordered is a natural way. The tests weren't hard and I think the course could focus more on experimental exercises.
创建者 Justin K•
Dec 10, 2018
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.
创建者 Simon N•
Jun 6, 2020
Interesting survey of modern network theory, from Erdos-Renyi random graphs, to SIS ("flu") models, and games on networks. Rather academic at times, without the rigour.
创建者 Harkeerat S•
Dec 22, 2016
The course is vast. The Professor is to the point and doesn't lack knowledge in his field.
I'd recommend this course for anyone interested in Economics. Loved it.
创建者 Michael S•
Jan 24, 2019
I loved everything so far, the quiz questions are well selected, but, I believe there are some notions which should be explained further mathematically.
创建者 Tianduo Z•
Nov 1, 2016
Very complex topic, very well presented. The materials are great! Would have been better to made mathematics pre-requisite clearer.
创建者 Robertas K•
May 31, 2020
Some quizzes have wrong answers, but overall it was quite a good introduction into network analysis.
创建者 ND B•
Sep 17, 2020
I request Prof Jackson to speak more directly into the mike. At many points he is not audible.
创建者 Pedro G•
Jul 2, 2021
Some modules were really useful to create solutions for my professional challenges.
创建者 Sebastian H•
Oct 15, 2019
Hohes Anforderungsniveau, mathematische Fähigkeiten sind zwingend erforderlich.
Jan 23, 2018
This course is very good to introduce to the theory of networks
Aug 8, 2020
It's very useful if you want to learn more anout network.
创建者 Dheeraj B•
Oct 4, 2017
The discussion forums ought to be more responsive
创建者 Navin N•
Dec 10, 2016
A bit tough, but really worth the effort.
创建者 Muhammad I•
Oct 10, 2017
I'm sorry, but this course is really boring. Hopefully this lecture give more interactive approach (like animated presentation, pop up question, and so on) rather than voice of text in the slide
创建者 ssagnik s•
Feb 1, 2021
the content is good but without basic knowledge of network, it will difficult to understand
the narrator is extremely boring and the explanation is not clear at all.
I expect to learn something new but it bored me
创建者 Alexandra M•
Sep 9, 2020
hola! me gustaría darme de baja de este curso. NO fue una buena elección.
Oct 27, 2018
Without previous knowledge in math, this course is not very useful.