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Table 2 Centralities calculated by the CentiScaPe Cytoscape’s plugin

From: From protein-protein interactions to protein co-expression networks: a new perspective to evaluate large-scale proteomic data

Centrality Description Biological meaning
Diametera Defines the longest shortest path in the network  
Average distancea Defines the mean length of all the shortest paths in the network  
Degreeb Describes the number of neighbors a node has Highlights the number of nodes that regulated/regulate the node v
Eccentricityb Describes the longest shortest paths a node develop, giving us a proximity information Highlights the easiness of a protein to reach/to be reached by all the other proteins in the network
Closenessb Describes, for the node v, the minimal sum of all the distances in the network Highlights the probability of a protein to be functionally relevant for several proteins, but irrelevant for a few others
Radialityb Describes the integration of a node into the network Highlights the ability of a protein to be functionally relevant for several proteins, but irrelevant for a few others
Centroidb Describes the neighborhood of nodes by highlighting nodes that have the highest number of neighbors separated by the minimal shortest path Highlights a protein that tends to be functionally capable of organizing discrete protein clusters or modules
Stressb Describes the number of shortest paths that pass through a node Highlights the relevance of a protein as functionally capable of holding together communicating nodes
Betweennessb Describes, for each couple of nodes, the number of shortest paths that pass through a specific node Highlights the relevance of a protein as functionally capable of holding together communicating nodes
Bridgingb Describes the neighborhood of nodes by highlighting nodes with a high number of high-degree neighbors Highlights a protein possibly bringing in communication sets of regulatory protein
Eigenvectorb Describes a sort of weighted degree, where not only the number of the neighbors is important but also the Eigenvector of the neighbors itself Highlights a protein interacting with several important proteins, suggesting a central super-regulatory role or a critical target of a regulatory pathways
Edge betweennessc Describes, for each couple of nodes, the shortest paths that pass through a specific edge Highlights the relevance of the interaction as capable of organizing regulatory process
  1. For each centrality, it is described the topological and biological meaning. The a indicates network’s properties. The b indicates node’s properties. The c indicates edge’s property