by Kayla Aguilar, Maris James, and Aynsley Szczesniak.

Data is all around us, but it has to be studied in some way, right? How else are we supposed to know what it’s about? That’s what graph theory and network science are for! To organize and connect data mathematicians use networks and graphs as well as scientific computing (like coding).

Network science is an application-based study of graphs. To understand network science, we first have to understand the graphs:

**Graph Theory**

**Graph Theory**

Graphs represent data through **nodes**, which are the separate points of a graph, and **edges**, which connect the nodes. There are two types of graphs: **directed** and **undirected** graphs. Directed graphs rely on the order of the vertices to be the same, while undirected graphs don’t rely on the order of the nodes.