Sentence examples for models with network from inspiring English sources

We consider models including network statistics that are not purely local, in the "Models with network characteristics" section.

Some of the limitations are imposed by the lack of specific data, which precludes the use of more complex models with network structure or age-stratified populations.

Limitations of this study include the simplifying assumption of homogeneity in the population interactions; and the lack of specific data, which precludes the use of more complex models with network structure or age-stratified populations.

A computerized statistical model with network algorithm was developed based on data processing and grouping.

This paper describes the development of a method that couples flood modelling with network analysis to evaluate the accessibility of city districts by emergency responders during flood events.

To quantitatively explain the experimental results, we further adopt an interpenetrating-network model with network alteration, which can guide the design of future resilient and tough hydrogels.

Aim #2: assess the association between the social network characteristics and health-related outcomes (education, income-generation) and between the sexual network characteristics and HIV-risk outcomes using multilevel modeling with network data.

The model equations are given in S1 Appendix A. In order to investigate the effect of Fengxiao and travel reduction on pandemic mitigation, we extended the baseline model to a meta-population model with network structures.

Note that the global model (all predictors and first-order interactions) possessed the lowest AIC by 300 points, but with 240 model terms, was far less interpretable than the AIC next-best model with network size, network topology, recombination rate, average additive variance, and interactions as predictors.

Leveraging the "cause-and-effect" network models together with Network Perturbation Amplitude (NPA) algorithms ([ 29, 43]), the fold changes of gene expression were translated into differential network backbone value for each backbone node in the network.

We investigate the efficiency and stability of R&D networks in a model with network-dependent indirect spillovers.