Interplay Between Hierarchy and Centrality in Complex Networks

Abstract

Hierarchy and centrality are two popular notions used to characterize the importance of entities in complex systems. Indeed, many complex systems exhibit a natural hierarchical structure, and centrality is a fundamental characteristic allowing to identify key constituents. Several measures based on various aspects of network topology have been proposed in order to quantify these concepts. While numerous studies have investigated whether centrality measures convey redundant information, how centrality and hierarchy measures are related is still an open issue. In this paper, we investigate the interaction between centrality and hierarchy using several correlation and similarity evaluation measures. A series of experiments is performed in order to evaluate the combinations of 6 centrality measures with 4 hierarchy measures across 28 diverse real-world networks with varying topological characteristics. Results show that network density and transitivity play a key role in shaping the pattern of relations between centrality and hierarchy measures.

Article already published on IEEE Access

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• The Treatment of Ties in Rank-Biased Overlap
• Investigating Centrality Measures in Social Networks with Community Structure
• Identifying Influential Nodes Using Overlapping Modularity Vitality
• A Synthetic Network Generator for Covert Network Analytics
• How Correlated are Community-aware and Classical Centrality Measures in Complex Networks?