Sentence examples for exploration of network from inspiring English sources

Computational modeling allows exploration of network parameter space corresponding to such variations.

The On-Chip Communication Network (OCCN) project provides an efficient framework, developed within Source Forge for the specification, modeling, simulation, and design exploration of network on-chip based on an object-oriented C++ library built on top of SystemC.

Exploration of network and pathway analyses revealed protein interactions potentially involved in CNS injury, and led to the identification of numerous potentially useful markers and pathways for future study.

The integration of traditional epidemiology with various omics data promotes a novel epidemiology branch, systems epidemiology, 3 4 which is expected to create a network system to study health and disease at a human population level. 1 Under this framework, the focus has been shifted from identification of independent risk factors to exploration of network or pathway effects on specific diseases.

We briefly discuss a straightforward way to organize data for analysis, before performing a brief analysis of a classroom network along three avenues: descriptive analysis of the network, exploration of network evolution, and analysis of network position as a predictor of individual outcomes.

The strength of our model relies on the large scale exploration of networks by combining sequence/domain and topological network analyses and applying SQUAD for system state sampling.

In terms of exploration of networks and data visualizations, Vanted supports standard interaction methods such as panning, zooming and overview+detail for selected network elements.

Motivated by the broad variety of applications concerned, ranging from the study of biological networks to the analysis of networks of scientific references through the exploration of communications networks such as the World Wide Web, it is the main purpose of this paper to introduce a novel, computationally efficient, approach to graph clustering in the evolutionary context.

The random walk discovery measures the ease of exploration of a network in a given number of steps, while the escape difficulty tells us how hard is it to leave a 3-neighborhood of a given node, and therefore provides us with valuable insights about the global network structure.

Node annotations (e.g. various gene/protein identifiers) and link annotations (e.g. pointers to the literature) enable easy exploration of the network.

This study builds upon research and findings outlined in our initial exploration of social network analysis methods in the same population [ 8].