Sentence examples for strength of nodes from inspiring English sources

The strength of nodes and their strength distribution, weighted clustering coefficient, and average shortest paths of the price network in different periods were calculated.

The n-to-1 connectivity <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0008525.e190.PNG" class= inline-graphic"/> (strength of nodes) characterized how the strength of the relationship decreases with the distance between the two regions [44], [45].

A bootstrap of 1,000 replications was used to estimate the strength of nodes in the tree [ 40].

The intra-layer strength of a node-layer (i alpha )) is (k_{i alpha )}), and (c_{i alpha )}) is the inter-layer strength of node i with respect to its connections to its counterparts in different layers.

Figure 8 Strength of node connectivity visually mapped from values of s i along (A -(B) Ivory Coast Tribal ; (C - D) Ivory C - D AdmIvory Coast ; Administrativertuguese andinistrativE -oundaries.

At this stage we calculate various measures, such as Mutual Information and entropy (described below and in supplementary material [see Additional file 4]), which characterize the strength of node relationships and overall uncertainty.

They are defined as k_{i alpha )} = sum_{j in {mathcal{{N}}} (i) } w_{ij}^{alpha } quad text{and} quad c_{i alpha )} = sum_{beta } d_{(i)}^{alpha beta }, so that the total strength of node-layer (i alpha )) is the sum, i.e., (kappa_{i alpha )} = k_{i alpha )} + c_{i alpha )}).

For node i, we sum over j the product of the activity level of node j times the interaction strength of node j on node i.

The distribution of the strengths of nodes for any streamflow network is used to identify the type of the underlying network.

The final failure loads is related to the strength of the nodes between face-sheets and truss core, so the node strength is the key of improving the failure load.

This depth is a measure of the maximum strength of the nodes iteratively removed from the network periphery before the node is removed.