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.
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.
автор: Justin Keswick•
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.
автор: Rijul Kumar•
Dec 03, 2018
автор: Taras Zhylenko•
Dec 02, 2018
Good introduction to the topic! Assignments were helpful as well as optional lecture videos.
автор: Noah J Wescombe•
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.
автор: Yadnesh Sawant•
Nov 04, 2018
Provides an in depth knowlledge about topics.
Oct 27, 2018
Without previous knowledge in math, this course is not very useful.
автор: Margarita Rosa Cabra García•
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.
автор: Ignacio Ojea•
Oct 04, 2018
Awesome course with lots of applications!
автор: Mansimran Singh Anand•
Oct 01, 2018
a very good excellent on social network analysis
автор: Paolo Bova•
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.