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arXiv · 2201.12914

Investigating Centrality Measures in Social Networks with Community Structure

Stephany Rajeh·Marinette Savonnet·Eric Leclercq·Hocine Cherifi
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Abstract

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.

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Stephany Rajeh, Marinette Savonnet, Eric Leclercq, Hocine Cherifi. 2022-01-30. Investigating Centrality Measures in Social Networks with Community Structure. https://doi.org/10.1007/978-3-030-65347-7_18

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