Sentence examples for a network of entities from inspiring English sources

The Treasury Department's action, which prohibits Americans from doing business with the named individuals and companies, and freezes their assets, was aimed at a network of entities linked to Seyed Seyyedi, an Iranian businessman and the director of Sima General Trading, a company previously penalized by the Treasury.

The world around us may be viewed as a network of entities interconnected via their social, economic, and political interactions.

So again it's an area we can use our ability to understand patterns within a network of entities to highlight things were people might be trying to abuse the system".

Imagine a network of entities, being it replica servers aiming to minimize the probability of data loss, players of online team-based games and tournaments, or companies that look into co-branding opportunities.

Individual call patterns of users are aggregated at a higher level to a network of entities, which can in turn be partitioned into a set of communities based on the intensities of calls between the nodes of this macroscopic network.

PREP is being launched by the White House Office of Science and Technology Policy (OSTP), World Resources Institute (WRI), U.S. Global Change Research Program USGCRPRP) and a network of entities working on climate impact data.

As one example, a simple approach to the detection of stabilizing selection at a molecular level in a network of microbial entities could be to explore whether the genes shared by these entities (each represented by a node) are under purifying selection.

A system-level approach of predicting functions of an unknown entity is performed by constructing a network of that entity and other known and unknown entities.

The Cyber-Physical Systems (CPSs) are designed as a network of interacting entities with physical inputs and outputs.

In this work we have introduced a technique that employs the Vector Space Model (VSM) for the identification of biological entity activities based on a network of biological entity interactions extracted from textual collections.

Our model constructs a network of known entity interactions from a textual collection.