Sentence examples for degree cluster from inspiring English sources

Exact(6)

To obtain a global trust degree cluster heads is selected.

Eight network parameters, degree, cluster coefficient, hubscore, cocitation, coreness, constraint, betweenness and closeness, were used to describe residues.

We have analysed 618 signatures and 507 modules of co-expression in cancer looking for significant values of four main protein-protein interaction (PPI) network parameters: connection degree, cluster coefficient, betweenness and number of components.

Several conventional features were used to characterize the residues, including sequence conservation, amino acid type, polarity, hydrophobicity, volume, accessible surface area, relative accessible surface area, secondary structure, degree, cluster coefficient, hubscore, cocitation, coreness, constraint, betweenness and closeness.

To clarify this issue, they firstly defined four PPI features [ 23]: degree, cluster coefficient, betweenness centrality and closeness centrality.

In four out of the seven tissues (brain, kidney, liver and ovary), all four topological parameters (i.e. in-/out degree, cluster coefficient and betweenness) of TS TFs were significantly higher compared with those of the trivial TFs (Table  1).

Similar(54)

"There's probably some discrimination against Latinos and Asians in the housing markets," said Reynolds Farley, a sociologist at the University of Michigan, "but most immigrant groups have, to some degree, clustered when they arrived.

Measures derived from a social network analysis of possum capture locations such as degree, clustering coefficient (CC) and betweenness were used to represent potential contact opportunities among possums.

A wide set of measurements, like network degree, clustering coefficient, characteristic path length and vertex centrality were utilized to characterize the networks' topology.

Then, we evaluate the properties of each node from the resulting networks by calculating the cumulative distribution of characteristic parameters such as degree, clustering coefficient, etc.

Functional brain networks in SV patients were characterized by a significantly lower mean network degree, clustering coefficient, and global efficiency, longer characteristic path length and higher assortativity compared with controls.

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