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  3. Introduction to Network Analysis in Python

Exercise

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.

Instructions

100 XP
  • 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.