igraph_quickstart_graph_creation_metrics_and_plotting.py

1import igraph as ig
2import matplotlib.pyplot as plt
3
4# Create a new graph with 3 vertices
5g = ig.Graph(3)
6
7# Add some edges
8g.add_edges([(0, 1), (1, 2)])
9
10# Add more vertices and edges
11g.add_vertices(2)
12g.add_edges([(2, 3), (3, 4), (4, 2), (0, 2)])
13
14# Set attributes for vertices and edges
15g.vs["name"] = ["Alice", "Bob", "Claire", "Dennis", "Esther"]
16g.vs["age"] = [25, 31, 18, 47, 22]
17g.es["is_formal"] = [False, False, True, True, True, False]
18
19# Print graph summary
20print(g)
21
22# Calculate some network metrics
23print("Degrees:", g.degree())
24print("Closeness:", g.closeness())
25
26# Plot the graph
27fig, ax = plt.subplots()
28ig.plot(
29    g,
30    target=ax,
31    layout="circle",
32    vertex_size=0.3,
33    vertex_label=g.vs["name"],
34    vertex_color="lightblue",
35    edge_width=[1 + 2 * int(f) for f in g.es["is_formal"]]
36)
37plt.show()