In example like this, how can I control the size of the plot?

In this example at link copied below, how can I control the size of the plot. Thanks.

Author: Aric Hagberg (hagberg@lanl.gov)
Adapted by Philipp Rudiger prudiger@anaconda.com

import networkx as nx

G = nx.Graph()

G.add_edge('a', 'b', weight=0.6)
G.add_edge('a', 'c', weight=0.2)
G.add_edge('c', 'd', weight=0.1)
G.add_edge('c', 'e', weight=0.7)
G.add_edge('c', 'f', weight=0.9)
G.add_edge('a', 'd', weight=0.3)

elarge = [(u, v) for (u, v, attr) in G.edges(data=True) if attr['weight'] > 0.5]
esmall = [(u, v) for (u, v, attr) in G.edges(data=True) if attr['weight'] <= 0.5]

pos = nx.spring_layout(G)  # positions for all nodes

# nodes
nodes = hvnx.draw_networkx_nodes(G, pos, node_size=700)

# edges
edges1 = hvnx.draw_networkx_edges(
    G, pos, edgelist=elarge, edge_width=6)
edges2 = hvnx.draw_networkx_edges(
    G, pos, edgelist=esmall, edge_width=6, alpha=0.5, edge_color='blue', style='dashed')
labels = hvnx.draw_networkx_labels(G, pos, font_size=20, font_family='sans-serif')

edges1 * edges2 * nodes * labels

This works as ‘a’ solution:

There could be more efficient ways of doing it.