Thank you for making it this far! We hope you've enjoyed the book. If you want to further your learning, here's a few resources to keep you going.
=== "Statistics"
"Statistical Analysis of Network Data" is an incredible resource for learning
how to analyze graph data from a statistical viewpoint.
It is written by Boston University's professor of mathematics
Eric D. Kolaczyck.
I used it during graduate school
as part of my personnal learning journey.
The book's website can be found [here](http://math.bu.edu/people/kolaczyk/SAND.html),
and is available on Amazon (click on the book link below).
<a target="_blank" href="https://www.amazon.com/gp/product/038788145X/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=038788145X&linkCode=as2&tag=ericmjl-20&linkId=489e360e1beb1e46ab19a76214deaa77"><img border="0" src="//ws-na.amazon-adsystem.com/widgets/q?_encoding=UTF8&MarketPlace=US&ASIN=038788145X&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=_SL250_&tag=ericmjl-20" ></a><img src="//ir-na.amazon-adsystem.com/e/ir?t=ericmjl-20&l=am2&o=1&a=038788145X" width="1" height="1" border="0" alt="" style="border:none !important; margin:0px !important;" />
=== "Network Science"
This is a book by Prof. Albert-Laszlo Barabasi, and is freely available [online].
In it, he explores network analysis from the perspective of an applied academic discipline,
showing universal properties and processes that underly networks.
[online]: http://networksciencebook.com/
=== "Think Complexity"
This is a book by Prof. Allen Downey at the Olin College of Engineering.
In fact, this was the first book that exposed me (Eric Ma)
to network science and its ideas, which thus inspired my thesis topic,
which then gave me the impetus to learn graph theory and make this tutorial.
I hope it becomes a useful thing for you too.
You can find the book [at Green Tea Press][thinkcomp] for free,
but do consider purchasing a copy to support Allen's work!
[thinkcomp]: https://greenteapress.com/wp/think-complexity-2e/
=== "Snacks"
Snacks is a repository of network analysis learning tools
curated in the same spirit as the "Awesome-X" repositories
that show up on GitHub.
You can find it [here](https://github.com/alonnir/snacks/).