<jupyter_start><jupyter_text>OverviewNetworks (a.k.a. graphs) are widely used mathematical objects for representing and analysing social systems. This week is about getting familiar with networks, and we'll focus on four main aspects:* Basic mathematical description of networks* The `NetworkX` library.* Building the network of GME redditors.* Basic analysis of the network of GME redditors.  Part 1: Basic mathematical description of networksThis week, let's start with some lecturing. You will watch some videos made by Sune for his course _Social Graphs and Interactions_, where he covers networks in details.  > **_Video Lecture_**. Start by watching the ["History of Networks"](https://youtu.be/qjM9yMarl70).<jupyter_code>from IPython.display import YouTubeVideo
YouTubeVideo("qjM9yMarl70",width=800, height=450)<jupyter_output><empty_output><jupyter_text>> **_Video Lecture_**. Then check out a few comments on ["Network Notation"](https://youtu.be/MMziC5xktHs).<jupyter_code>YouTubeVideo("MMziC5xktHs",width=800, height=450)<jupyter_output><empty_output>
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