I do agree that the Input Output Network papers by Acemoglu et al and Bouchaud et al are most likely way too advanced for the MOOC. This is hard to teach to graduate students in Economics, and should clearly be beyond the scope of anything somebody who has never heard of network theory will be able to understand within a 90 minute lecture. Unless you find a really good way to break this down and simplify it significantly (which I suspect might not be an easy task) I would maybe introduce networks in a different context than IO networks, there is certainly enough scope in learning in games or in finance to introduce networks in sigificantly simpler setting. If you still want to do networks in this setting I suggest that you push it to the end of the MOOC to not scare away people who are afraid of handling complicated-looking equations or even real data.
I do agree that the Input Output Network papers by Acemoglu et al and Bouchaud et al are most likely way too advanced for the MOOC. This is hard to teach to graduate students in Economics, and should clearly be beyond the scope of anything somebody who has never heard of network theory will be able to understand within a 90 minute lecture. Unless you find a really good way to break this down and simplify it significantly (which I suspect might not be an easy task) I would maybe introduce networks in a different context than IO networks, there is certainly enough scope in learning in games or in finance to introduce networks in sigificantly simpler setting. If you still want to do networks in this setting I suggest that you push it to the end of the MOOC to not scare away people who are afraid of handling complicated-looking equations or even real data.