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How to change node size based on list?
Changing v to and int () solves this problem, then I multiplied by 100, since some of the values were small, to make the node sizes relevant:
What happens if you have only 2 nodes in a cluster?
A small number of nodes may limit the effective degree of replication for your applications. For example, if you have a high-availability application consisting of 5 replicas, but you have only 2 nodes, then the effective degree of replication of the app is reduced to 2.
How to make node size dependent on degree?
In this case it basically boils down to using dict (g.degree) instead of d = nx.degree (g). nx.degree (p) returns a dict while the node_size keywod argument needs a scalar or an array of sizes. You can use the dict nx.degree returns like this: @miles82 provided a great answer.
What’s the problem with node size in NetworkX?
The problem is that the drawing functions in NetworkX require node_sizes to be input as a list of int s, while you are passing a list of strings. You can read the parameters to the drawing functions here. Because I don’t have the input files to your program, I can’t reproduce your output.
How to find the number of nodes reachable from a particular node?
To find the number of nodes reachable from a particular node, one thing to observe is that we can reach from a node X to a node Y only when they are in the same connected component. Since the graph is bidirectional, any node in a connected component to any other node in the same connected components.
How to find the maximum number of nodes in a graph?
Given a graph with N nodes and K bidirectional edges between them find the number of nodes which can be reachable from a particular. Two nodes X and Y are said to be reachable if we can start at X and end at Y using any number of edges. Note : A Node is reachable to itself.