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Interplay Between Hierarchy and Centrality in Complex Networks

Authors :
Stephany Rajeh
Marinette Savonnet
Eric Leclercq
Hocine Cherifi
Source :
IEEE Access, Vol 8, Pp 129717-129742 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

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 association 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 redundancy between centrality and hierarchy measures.

Details

Language :
English
ISSN :
21693536
Volume :
8
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.605cc175bc2425b95da263c7a7c189b
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2020.3009525