Sentence examples for decomposition of a network from inspiring English sources

The package also contains the function CPBAdecomp for carrying out the propensity decomposition of a network.

A major benefit of this model is that it generalizes the conformity-based decomposition of a network [ 21].

By this definition, we can conclude that a good decomposition of a network must comprise many within-module links and as few as possible between-module links.

In addition, the decomposition of a network into functionally related sub-parts can offer valuable information on how the complete system works, thus facilitating its analysis.

In the Frobenius setting, the model can be used to generalize conformity-based decomposition of a network as shown in Example 2. In the Poisson log-likelihood setting, our model suggest a new clustering procedure.

It supports abstraction by (recursive) decomposition of a large network into several smaller networks and it implements a selection of efficient subquadratic algorithms for analysis of large networks.

An open question is whether correlation network methods can be generalized to general networks by defining a suitable decomposition of a general network similarity measure.

The study rationale is two-fold: on the one hand, the large-scale network model as emerging in cognitive neuroscience led us to a consideration of metaphor as supported by a distributed and bilateral network; on the other hand, we based on the accounts of figurative language put forward in pragmatics and cognitive science to postulate a decomposition of such a network into multiple sub-systems.

This prevents an easy decomposition of a large network into subsystems that can be handled (and integrated) independently.

This question comes into the modularization decomposition of a metabolic network, which is beyond the scope of this paper.

BiNoM also implements a collection of powerful graph-based functions and algorithms such as path analysis, decomposition by involvement of an entity or cyclic decomposition, subnetworks clustering and decomposition of a large network in modules.