a) Which layouts do you think would fit best to which kind of graphs?
b) Create a random graph containing about 50 nodes. Assign random values ∈ [0, 1] to the edges as ’radius’ attributes.
c) Display the graph using the spring layout. Use the edge’s ‘radius’ at- tributes as weights for the spring layout.
d) Display the graph using the shell layout. Distribute the nodes across 5 different shells.
e)** Try to display the graph in a 3-dimensional spring layout (hint: use mat- plotlib’s mplot3d toolkit). Scale the color and width of the edges according to their radius.
E3.2 Graph Colorings
a) Load the graph from the file
../data/visualization/huge_graph.xml. How large is the
b) Plot the graph using its ‘x’ and ‘y’ node attributes as coordinates and the edge’s ‘radius’ attribute as edge-widhts. What kind of graph is this?
c) Choose colors, linewidths, marker- and linestyles in a way that they sup- port the information contained in the graph (very subjective :-)).
d) What is the maximum degree of the nodes in the graph? Color the nodes differently according to their degree. Scale the node sizes according to the graph’s node attribute ‘conductivity’.
e)* Color the thickest 15% of the edges differently than the rest to highlight them.
f)** Try to find the outermost cycle of the graph and color it differently.
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