Combining of Existing Centrality Measures


To identify the influential nodes of different networks, different centrality measures should be taken into account according to the characteristics of the network. So a new method is proposed to identify influential nodes based on combining the existing centrality measures.The proposed method can aggregate multiple centrality measures from different aspects to make the assessment

$$r_i=median\left\{ r_u^i,r_l^i\right\}$$

where $r_i$ denotes the final ranking of each node, $r_u^i$ represents the maximum ranking of node $i$, and $r_l^i$ represents the minimum ranking of node $i$.


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