I used numbers here, because it was really easy to do.

We're going to average it for the n nodes in the graph.

Node

Node

Node...

Nodes

Dodge

Here's a game tree for a stochastic 2 player game.

Because the nodes are filled in the tree from top to bottom and left to right, we can number them very naturally as follows.

Node Name

DOM Node

DHT Nodes

Total Nodes

Node name

So let's do this.

Free Nodes

If we have some value in the heap and we know that the heap property is satisfied and what does that mean?

This isn't too hard we just make a note that degree centrality just means that degree which node has the highest degree.

What node 0 is is a dictionary of all the nodes that it is connected to directly.

We've got five nodes and five edges.

Then, for each pair of colors, we have to exclude that they are both true for every nodes.

We're going to again generate a graph on n nodes recursively. Same structure as before.

Insert node

Remove node

Move node

Move Nodes

Delete Nodes

Delete nodes

Rotate Node

We're going to make a link in the ring from node i to node i 1 mod n.

This algorithm captures a different notion of centrality.

This is the path that starts off with some node on the graph, let's say A in this case.

I draw an extra node for x zero.

So starting from this node here, we can see this node can reach this one, and this one, well, and itself, and did we miss any?

Otherwise, we recursively generate the two subgraphs.

Here's the formula for a clustering coefficient.

If you look at any node in the left side say the middle one.

And so that's like making a small tree.

So, you have to have the root.

And then I apply the formula.

And this code is based on a code from Amit Gupta.

Remove this node

Color of the nodes on DHT chart

Move Node Up

Move Node Down