Sentence examples for probability of connecting from inspiring English sources

Suppose that p1 was the probability of connecting any two nodes in a random network with n nodes, the probability of connectivity of equal or larger than t was as follows: p (x ≥ t ) = 1 − p (x < t ) = 1 − ∑ k = 0 t − 1 λ k e − λ k !, where λ = n × p1; p1 was estimated using the number of links in the constructed disease-specific gene network divided by the number of all possible links.

We refer to this ratio as P f ( p i, c j ) P ( p i, c j ), i.e. the f ∗ -based probability of connecting customer c j with product p i over the baseline probability.

The algorithm that generates this kind of topology, assigns to every node the same probability of connecting with any other node, which produces a poissonian degree distribution (Erdös and Renyí 1959).

According to deduction 2, if l = 100 m, rt = 40 m, and the boundary effect is considered, the network is fully connected when the probability of connecting the network is greater than 99% with 124 nodes deployed.

In Fig. 5 a, b, we observe that the probability of connecting (or being connected) with more than k people in (mathcal {D}_{textit {cs}}) is ever greater than in the single layers.

Also for this type of network, average clustering coefficient (langle C rangle) is small, actually it is equal to p (the probability of connecting two nodes) and the average shortest path length (langle l rangle = frac{lnN}{lnlangle k rangle }).

The probability of enzyme connected and not connected to the metabolite m i are estimated as (8) P (E ~ m i | k − 1 ) = 1 − exp (− k i · (n E − k + 1 ) n tot ) P (E ≁ m i | k ) = exp (− k i · (n E − k ) n tot ).

In contrast to excitatory connectivity, NGFCs were the most prominent source of inhibition to L2/3 pyramidal neurons, with a connectivity probability of 0.44 (12 connected out 27 connections tested).

We generate a 40-vertices Erdos-Renyi graph, in which the probability of edge connecting is 0.1.

Specifically, we derive users' coverage probabilities, which is defined as the probability of user connecting to BS, in closed forms with different sleeping strategies and access policies.

(2007) and Fei (2011), the ecological patch connected distance threshold is set to 10,000 m and the probability of directly connected is set to 0.01 (i.e. when the distance between the two patches is less than 10000 m or the connectivity probability is greater than 0.01, there is connectivity between two patches and the connecting value is 1. Otherwise it is 0).