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The model networks are surprisingly tough.
Model networks are grown with known preferential attachment rules to test the method, which is seen to be robust.
Because of the nonlinear building behavior local linear model networks are used to model the building dynamics.
Two different modeling architectures, namely multilayer perceptron networks and local model networks are chosen and the experiment design is based on the optimization of the Fisher information matrix of the associated model architecture.
Similarly, STICKY model networks are constrained to have the expected degree distribution of real networks (see [25] for details).
Therefore, there may be instances in which currently available model networks are adequate enough so as to account for the behavior of the system.
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The degree of swelling of all model networks was measured in water as a function of the solution pH.
Model networks were generated and compared to RIGs using GraphCrunch [27].
In fact, this is true when social networks are compared with each other (as we have done with URV and PGP networks) but the comparison to model networks is most dramatic.
The fit of the GKE model networks was then assessed by computing the root mean square error (RMSE) between these mean values and those given by the scaling relationships (24) and (25) for the tested sizes of network n.
The difference between the topologies of the spoke and matrix model networks is probably a consequence of the models themselves.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com