Introduction to the Modeling and Analysis of Complex Systems

15.3. CONSTRUCTING NETWORK MODELS WITH NETWORKX 305# adding a bunch of edges at onceg.add_edges_from([(’Jess’, ’Josh’), (’John’, ’Jack’), (’Jack’, ’Jane’)])# adding more edges# undefined nodes will be created automaticallyg.add_edges_from([(’Jess’, ’Jill’), (’Jill’, ’Jeff’), (’Jeff’, ’Jane’)])# removing the edge between ’John’ and ’Jane’g.remove_edge(’John’, ’Jane’)# removing the node ’John’# all edges connected to that node will be removed toog.remove_node(’John’)Here I used strings for the names of the nodes, but a node’s name can be a number,a string, a list, or any “hashable” object in Python. For example, in the phase spacevisualization code in Section 5.4, we used a tuple for a name of each node.I believe each command used above to add or remove nodes/edges is quite selfexplanatory.If not, you can always look at NetworkX’s online documentation to learnmore about how each command works. There are also several other ways to manipulatea graph object, which are not detailed here.Once this code is executed, you can see the results in the Python command line, likethis:Code 15.2:>>> g>>> g.nodes()[’Jeff’, ’Josh’, ’Jess’, ’Jill’, ’Jack’, ’Jane’]>>> g.edges()[(’Jeff’, ’Jane’), (’Jeff’, ’Jill’), (’Josh’, ’Jess’), (’Jess’, ’Jill’),(’Jack’, ’Jane’)]>>>The first output (“”) shows that g is a Graph object. In order tosee the contents of the data in the object, we need to use some commands. g.nodes()returns a list of all nodes in the network, while g.edges() returns a list of all edges.