Wolfram language has native support for processing and visualising any form of graph - reference.wolfram.com 
Graphs and networks are all around us, including technological networks (the internet, power grids, telephone networks, transportation networks, …), social networks (social graphs, affiliation networks, …), information networks (World Wide Web, citation graphs, patent networks, …), biological networks (biochemical networks, neural networks, food webs, …), and many more.
Graphs provide a structural model that makes it possible to analyze and understand how many separate systems act together. The Wolfram Language provides state-of-the-art functionality for modeling, analyzing, synthesizing, and visualizing graphs and networks.
Whether those graphs are small and diagrammatic or large and complex, the Wolfram Language provides numerous high-level functions for creating or computing with graphs. Graphs are first-class citizens in the Wolfram Language; they can be used as input and output and they are deeply integrated into the rest of the Wolfram Language.