Complex Network Analysis
![Image](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjWJSD_Hj4oc0nH_yxeFiWXSYxG2rP2_J5PpGIr8OMvL7yTnCO8wyeDh6ZpryfwtIhBY4GvLHK45odNTJXcMWXwCOPAX8xvkPv0px0Z1FJJwZVEtfuvBAkMgDTuJokQ23cGDriMGyg67i8RyZPKEee_gcOjdnQZj1kJmHf85mFh-LSJDVhBJVLnceAf/w400-h351/bigger-citation-graph.png)
I've recently been working on two fascinating, challenging projects. One is a guide to the Pimoroni Explorer Base. That's going to take a while, and I'll report on progress as i go. The other is a tool to help me keep track of published papers on some of the AI areas the interest me. Therese's so much published that it's a real challenge to keep up. I rely heavily on the wonderful service provided by Semantic Scholar; that helps me keep track of new papers that cite older papers that I've identified as interesting. Here's the citation network for one of the papers that interest me: I've done quite a bit of work on networks with Python, but I've recently been reading Complex Network Analysis in Python by Dmitry Zinoviev. It's well-written, broad in coverage, and has plenty of useful sample code. I love it.