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We constructed a human protein interaction network using a modified version of CRG interactome [ 15] and investigated for differences in four different centrality measures namely degree, closeness, betweenness and eccentricity between specific and shared genes.
Differences could be due to the use of different centrality measures, as described earlier in the text.
By considering different centrality measures (betweenness, centroid, closeness, degree, eccentricity), the most central AM nodes are AKT1, CASP3, CASP8, MAPK1.
Different centrality measures can be used.
Different choices of α and β lead to different centrality values, resulting in different node rankings.
Table 4 p -values of Wilcoxon-Mann-Whitney test for different centrality metrics and alternative hypotheses.
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Centrality can reflects the central nodes in a pathway, and different centralities assign gene importance from different aspects.
Fourth, we study the correlation between the different centralities of the mobile phone users in each layer.
One benefit of investigating different centralities is that while the centralities are often correlated, significant disagreements can point to unusual aspects of the network that in turn can lead to a deeper understanding of it.
Social network analysis is used to map the evolution of the network and different centralities of actors, human and non-human, evidencing the relative importance of knowledge transfer channels.
Personal and know-how contacts (defined in terms of large-scale social network popularity) a candidate are important and can be analyzed by using different centralities such as closeness centrality, degree centrality, betwenness centrality etc. Wikipedia is perhaps considerably popular, if not to the point of being infamous, social network platform.
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