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So a single player with a high betweenness centrality is also a weakness, since the entire team is vulnerable to an injury to this player or a red card.
Betweenness centrality is also an important measure to find the intermediate nodes from which data flow from one person to another (Kitsak et al. 2010; Kiss and Bichler 2008).
Closeness centrality is also based on geodesic paths, but unlike betweenness centrality which accounts for mediation within these paths, closeness measures the extent to which a node is in proximity to others.
Centrality is also taken as a marker of importance.
Eigenvector centrality is also affected by disconnections within the simplified network shown in Fig. 1D.
As well-known, weighted protein interaction network can be constructed by integrating functional annotations, and centrality is also can be extended to weighted network easily [ 20].
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A corresponding effect of centrality was also seen in the metabolic network of yeast [5].
Disease-association and betweenness centrality are also less correlated when the overlap is removed.
Specifically, the observation that proteins of high betweenness centrality tend to be also essential [ 9] and may also be frequently altered in cancer [ 10, 11] suggests that proteins of high betweenness centrality are also important for normal cellular physiology.
Further analysis revealed that the connectivity as well as the betweenness centrality are also positively correlated with the flux rates carried by the associated enzymes (Table 3).
Further, node connectivity (degree and eigenvector centrality) was also negatively related to snow depth suggesting that measures of node centrality are related to habitat suitability, and ultimately to individual fitness.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com