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Is ‘distinctiveness centrality’ actually distinctive? A comment on Fronzetti Colladon and Naldi (2020)
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Distinctiveness centrality, which was proposed in 2020 to identify nodes that are connected to poorly-connected neighbors, is simply a minor variation on two existing centrality measures: beta centrality proposed in 1987, and gamma centrality proposed in 2011. In toy, empirical, and generated networks, I show that these three centrality measures yield identical node rankings under nearly all circumstances. Researchers seeking to identify nodes that are connected to poorly-connected others should not use distinctiveness centrality, and instead should use either beta or gamma centrality because they are more widely-known in the literature, are more flexible, and are computationally simpler. Additionally, researchers should be cautious when proposing new centrality measures, taking care to avoid duplicating measures that already exist.
Title: Is ‘distinctiveness centrality’ actually distinctive? A comment on Fronzetti Colladon and Naldi (2020)
Description:
Distinctiveness centrality, which was proposed in 2020 to identify nodes that are connected to poorly-connected neighbors, is simply a minor variation on two existing centrality measures: beta centrality proposed in 1987, and gamma centrality proposed in 2011.
In toy, empirical, and generated networks, I show that these three centrality measures yield identical node rankings under nearly all circumstances.
Researchers seeking to identify nodes that are connected to poorly-connected others should not use distinctiveness centrality, and instead should use either beta or gamma centrality because they are more widely-known in the literature, are more flexible, and are computationally simpler.
Additionally, researchers should be cautious when proposing new centrality measures, taking care to avoid duplicating measures that already exist.
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