To determine the consistency of network interactions, we examined the enzyme network responsible for the reduction of nicotinamide adenine dinucleotide phosphate (NADP) to NADPH across three different conditions: oxidative stress, starvation, and desiccation.
The consistency of network risk ratings and rankings were evaluated for each of the 16 network topologies across a sample of 55 network security professionals who reviewed these topologies.
We find that the consistency of network elements is influenced by both structural features of the network such as the number of regulators acting on a target gene and by the functional classes of the genes involved in a particular element.
These criteria help to preferentially fuse highly related sub-networks, while avoiding low consistency sub-networks that would otherwise agglomerate weakly related sub-networks.
Our method evaluates the networks from only one set of data measured under one condition to estimate the absolute consistency between network structure and the data, while the other methods generally need the two sets of data to estimate their relative difference by some criteria such as mutual information.
Our simulation results show that the RobP2P is efficient, less prone to failure, and generates lower overhead traffic, while reliably maintaining the consistency of network state.
Because shipments occur over time, we aggregate the data at various temporal scales to examine the consistency of network and community structure over time.
This paper considers a framework for integrating the notion of time granularity into TCSP, and investigates the problems of consistency and network solution, which, in this context, involve complex manipulation of the periodic sets representing time granularities.
In addition, with this approach to TC allocation, we ensure consistency in network capacity planning which is close to the real ones.
