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RankingBetweenness CentralityDefinition
This centrality measure combines the idea behind the randomwalk betweenness centrality measure
and the idea of ranking the nodes of a network produced by an adapted PageRank algorithm.
In some types of networks, as for example street networks, a node does not measure its importance only by its connectivity to other nodes; there are other factors that can and should be measured to be considered a true ranking of importance within the network. The PageRank algorithm modified with the primary objective to introduce a data matrix representing some type of information of the network itself. This information allows us to obtain a ranking of the nodes of the network which is used in the randomwalk betweenness algorithm. This centrality measure reduces the effect of the randomness present in the randomwalk betweenness measure and takes into account, in a decisive way, the information we want to evaluate of the network. The detailed example is presented at [AGRYZKOV, T., 2014]. SoftwareReferences
