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Table 1 Definitions of the centrality parameters considered in this analysis

From: Centrality of drug targets in protein networks

Size dependent parameters

Average shortest path: average distance between an examined node and all other nodes

Degree: number of edges connected to an examined node

Eccentricity: largest number of edges between an examined node and any node in the network

Neighborhood connectivity: average number of edges of nodes neighboring an examined node

Stress: number of shortest paths between any two nodes passing through an examined node

Normalized parameters

Betweenness centrality: fraction of shortest paths between any two nodes passing through an examined node

Closeness centrality: normalized reciprocal distance between an examined node and any node

Clustering coefficient (local): observed fraction of all possible edges between nodes neighboring an examined node

Topological coefficient: fraction of nodes neighboring an examined node that are shared with other nodes

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BMC Bioinformatics

ISSN: 1471-2105

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