How Correlated Are Community-Aware and Classical Centrality Measures in Complex Networks?

Unlike classical centrality measures, recently developed community-aware measures use a network's community structure to identify influential nodes in complex networks. This paper investigates their relationship on set of fifty real-world networks originating from various domains. Results show that and generally exhibit low medium correlation values. These results are consistent across Transitivity efficiency the most macroscopic network features driving variation between measures. Additionally, mixing parameter, modularity, Max-ODF main mesoscopic topological properties exerting substantial effect.