I was lucky enough to study a bit of network science in college under a fantastic professor, and always regretted not taking it further and getting involved with his research.
It impacted my thinking in so many areas (finance, technology, etc.) and the only limiting factor was forgetting over time what I had learned. There's been hardly any good introductory resources for network science given what a young field it is. Great to see that changing!
"One of the facts that never fails to blow my mind is the realization that a piece of software is, after all, just a very cleverly composed number. Thus you can sum Adobe Photoshop to Google Chrome, although the result won’t probably make much sense. That is also why there exist such a thing as an “illegal number” ."
I skimmed through the graph visualization section. It’s quite interesting.
Is it incorrect or too simplistic to say that network science is a subset of graph theory?
"A print-on-demand version will be available soon (link will follow)"
Presumably the exercises and organization, if nothing else, both of which end up being a large part of the value of any good textbook anyways.
It's also not that huge given the scope -- it could be taught as a multi semester course like a lot of the similar statistics textbooks