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Different types of centralities in Metabolic Network

Different types of centralities in Metabolic Network.

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Different types of centralities in Metabolic Network

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  1. Different types of centralities in Metabolic Network

  2. There are various measures of the centrality of a vertex within a graph that determine the relative importance of a vertex within the graph (for example, how important a compond is within a metabolic network, or how important a pathway is within a metabolic network). • There are four measures of centrality that are widely used in network analysis: • degree centrality, • betweenness, • closeness, • eigenvector centrality.

  3. Degree centrality • Degree centrality is defined as the number of links incident upon a node . If the network is directed (meaning that ties have direction), then we usually define two separate measures of degree centrality, namely indegree and outdegree. • Indegree is a count of the number of directed edges to the node, and outdegree is the number of edges of that node directs to others. • For positive relations such as friendship or advice, we normally interpret indegree as a form of popularity, and outdegree as gregariousness.

  4. Betweennessis a centrality measure of a vertex within a graph . Vertices that occur on many shortest paths between other vertices have higher betweenness than those that do not. • Closeness centrality : • Vertices that are 'shallow' to other vertices (that is, those that tend to have short distances to other vertices with in the graph) have higher closeness. • Closeness is preferred in network analysis to mean shortest-path length, as it gives higher values to more central vertices, and so is usually positively associated with other measures such as degree.

  5. Eigenvector centrality: is a measure of the importance of a node in a network. • It assigns relative scores to all nodes in the network based on the principle that connections to high-scoring nodes contribute more to the score of the node in question than equal connections to low-scoring nodes.

  6. D-fructose-6-phosphate and glyceraldehyde-3-phosphate which are intermediates in the glycolysis pathway; • D-ribose-5-phosphate and xylulose-5-phosphate which are intermediates in the pentose pathway and acetyl-CoA which is the metabolite linking glycolysis pathway, citric acid cycle and fatty acid synthesis pathway. • 5-Phospho-D-ribose 1-diphosphate, the precursor for purine and histidine synthesis, is also within the first ten hub metabolites. • This result indicates that topological analysis of metabolic networks could reveal the evolution history .

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