Introduction to the Modeling and Analysis of Complex Systems

314 CHAPTER 15. BASICS OF NETWORKSnode_color = [’yellow’ if i < 17 else ’green’ for i in g.nodes()])title(’coloring nodes and edges’)subplot(3, 2, 5)nx.draw_networkx_nodes(g, positions)title(’nodes only’)subplot(3, 2, 6)nx.draw_networkx_edges(g, positions)title(’edges only’)show()Exercise 15.10 Visualize the following graphs. Look them up in NetworkX’s onlinedocumentation to learn how to generate them.• A “hypercube graph” of four dimensions.• A “ladder graph” of length 5.• A “barbell graph” made of two 20-node complete graphs that are connectedby a single edge.• A “wheel graph” made of 100 nodes.Exercise 15.11 Visualize the social network you created in Exercise 15.7. Tryseveral options to customize the result to your preference.15.5 Importing/Exporting Network DataIn most network studies, researchers need to model and analyze networks that exist inthe real world. To do so, we need to learn how to import (and export) network data fromoutside Python/NetworkX. Fortunately, NetworkX can read and write network data from/tofiles in a number of formats 2 .html.2 For more details, see https://networkx.github.io/documentation/latest/reference/readwrite.