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Reinholt and Foss (2011) demonstrated that in an employee community, knowledge acquisition and provision is higher when an employee's network centrality is high.
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So, if the relative energy, relative density, and the relative centrality are high, the priority of the node is very high, too.
In Table 2, both in-degree and out-degree centrality were higher among people between the ages of 65 and 74 and who were living with their spouse.
Betweeness centrality was highest in: endocytosis; glyoxylate and carboxylate metabolism; mitochondrial protein import; toll-like receptor cascades; and adenosine ribonucleotides de novo biosynthesis.
Closeness centrality was higher when the respondents were aged 75 or above, living with a spouse, and had an only elementary school education or were educated in a seodang; however, this was not significantly correlated with self-rated health.
Their out-degree centrality was higher than their in-degree, reflecting their new status as sources of important information for each other and for their supervisors, most often regarding the health status of a community member, the vital statistics of a sick child, or low stocks of contraceptives.
Both centralities are higher for high degree proteins, which is to be expected.
Still, a naïve Pearson correlation between the two metrics (weighted degree centrality and frequency) is high (ECB r≈0.77; Fed r≈0.92) for both organizations and across all of the periods.
According to the concept of centrality, a node is identified as "important"?, if its centrality value is higher than that of other nodes in the network.
A hub is the best connected node within the module and, therefore, is likely to have high leverage centrality since its degree is high with respect to other nodes in the neighborhood.
The proteins in the PPI networks for which such centrality measures are high are also more likely to be essential proteins.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com