Reinholt and Foss (2011) demonstrated that in an employee community, knowledge acquisition and provision is higher when an employee's network centrality is high.
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.
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.
So, if the relative energy, relative density, and the relative centrality are high, the priority of the node is very high, too.
Betweeness centrality was highest in: endocytosis; glyoxylate and carboxylate metabolism; mitochondrial protein import; toll-like receptor cascades; and adenosine ribonucleotides de novo biosynthesis.
Both centralities are higher for high degree proteins, which is to be expected.
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.
In addition, the number of neighbors with significantly higher closeness centrality (threshold 0.2) is higher in the AICR network compared with random network (Additional file 5: Figure S2).
We found that the centrality of Prom+ genes is higher than a random reference and that the frequency of these genes increases from the periphery to the center of the network.
With more directly related users, the local centrality of the given user is higher, which can be regarded as the factor to select the intra-community cooperative user.
