Sentence examples for between two random nodes from inspiring English sources

Meta path: A meta path is defined as the path whose length is between two random nodes v i and v j in the recommendation heterogeneous network, denoted as ( {v}_ioverset{l_{im}}{to }{v}_moverset{l_{mj}}{to }{v}_j ), where l im and l mj represent certain types of relations, either of the same type or of different types.

If a d-length path exists between two random nodes v o and v s in a heterogeneous network, it will take d random walks from v o to v s and the path between v o and v s will be a d-length random path.

Three random nodes (Nodes 4, 10, and 15 in Figure 6) are used as broadcasting nodes.

The first one is an algorithm which finds all possible paths between two random secondary users selected as source node and destination node then returns the hop count of the shortest path between them by using the random values of node location and active state, antenna gain, and channel fading as input data.

When two random selected nodes were eliminated the variations of networks stability and topology were minimal.

In practice, the coupled mode between two nodes (say, adjacent nodes) is usually random.

In our recent study, we introduced the PlayNCool protocol that increases the throughput of the wireless networks by enabling a helper node to strengthen the communication link between two neighboring nodes and using random linear network coding.

An edge between two nodes means those two nodes have a specific relation.

Inverse geometric model: similar to the geometric model, except that nodes are connected if the distance between their corresponding points is larger than a radius R: ‖ x i − x j ‖≥ R. ER model: there are m0 nodes, and each possible edge between two nodes exists uniformly at random with a probability P. See Figure 4 for a schematic representation of the seed graph models.

A random dependency between two nodes can be found where a single arrow connects both nodes, a double arrow shows that there is a logical relationship.

Precisely, we derived the probability density function of a random variable describing the distance between two arbitrary nodes with a given hop count.