MatrixPlot

Let's now practice making some visualizations. The first one will be the MatrixPlot. In a MatrixPlot, the matrix is the representation of the edges.

Make a MatrixPlot visualization of the largest connected component subgraph, with authors grouped by their user group number.
- First, calculate the largest connected component subgraph by using the nx.connected_component_subgraphs(G) inside the provided sorted() function. Python's built-in sorted() function takes an iterable and returns a sorted list (in ascending order, by default). Therefore, to access the largest connected component subgraph, the statement is sliced with [-1].
- Create the MatrixPlot object h. You have to specify the parameters graph and node_grouping to be the largest connected component subgraph and 'grouping', respectively.
- Draw the MatrixPlot object to the screen and display the plot.