  Centrality measures are crucial in quantifying the influence of the members
of a social network. Although there has been a great deal of work dealing with
this issue, the vast majority of classical centrality measures are agnostic of
the community structure characterizing many social networks. Recent works have
developed community-aware centrality measures that exploit features of the
community structure information encountered in most real-world complex
networks. In this paper, we investigate the interactions between 5 popular
classical centrality measures and 5 community-aware centrality measures using 8
real-world online networks. Correlation as well as similarity measures between
both type of centrality measures are computed. Results show that
community-aware centrality measures can be divided into two groups. The first
group, which includes Bridging centrality, Community Hub-Bridge and
Participation Coefficient, provides distinctive node information as compared to
classical centrality. This behavior is consistent across the networks. The
second group which includes Community-based Mediator and Number of Neighboring
Communities is characterized by more mixed results that vary across networks.
