Centrality measures in networks

We show that prominent centrality measures in network analysis are all based on additively separable and linear treatments of statistics capture a node’s position the network. This enables us to provide taxonomy distills them varying two dimensions: (i) which information they make use about nodes’ positions, (ii) how is weighted as function distance from node question. The three sorts positions usually used—which we refer “nodal statistics”—are paths given other nodes, walks geodesics between nodes include node. Using such also characterize types trees agree, discuss properties identify some path-based measures.