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Several centrality metrics have been proposed for the complex network analysis.
CM [3] compares several centrality measures: degree, closeness, betweenness, and eigenvector centrality.
Our experiments show that DC produces higher quality results and is comparable to several centrality measures in terms of runtime.
According to this information, we compute several centrality measures that incorporate information on all group members' knowledge-seeking directions in the farmers' group.
Several centrality measures have been proposed in the literature [ 45, 50].
Several centrality measures have been proposed to evaluate the importance of nodes in a network.
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Furthermore, we incorporated several centrality-descriptors for a node in a network.
CentiScaPe is the only Cytoscape plug-in that computes several centralities at once.
CentiScaPe is a comprehensive suite of algorithms dedicated to network nodes centrality analysis, computing several centralities for undirected, directed and weighted networks.
To assess the topological features of the proteins, we measured several centralities in the network, namely, degree, betweenness, closeness, and topological importance.
Moreover, several recent centrality measures, such as Range-Limited Centrality [ 29], L-Index [ 30], LeaderRank [ 31], Normalized α-Centrality [ 32], and Moduland-Centrality [ 33], used in complex networks can also be used to analyze the protein-protein interaction networks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com