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Thus, the likelihood of connecting to a node depends on the node's current connectivity [ 41- 46, 47] 47].
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The difference between the two sets of measures lies in the connectivity of actors that are connected to a node.
Let E i be the number of connections between the k i nodes connected to a node i, in a network with a total of N nodes.
A node may connect to a node by exploiting a 2 hop link involving node.
The weighted degree wd represents the sum of weights for edges connected to a node.
In our example, a node monitor component deployed on N 1 is connected to a node alert component deployed on N 3 via a low-priority binding.
The app uses AFNetworking to connect to a Node server that then contacts the Twilio API catalyze the desired action.
The degree-degree correlation function knm(k) is [24], [23] <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0000501.e014.PNG" class= inline-graphic"/> where p(k'|k) is the conditional probability that a node with degree k is connected to a node with degree k'.
The number of links connected to a node gives the node's degree.
The number of links connected to a node is called a degree.
All the buttons in a room are connected to a Node.
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