Geometric Correlations Mitigate the Extreme Vulnerability of Multiplex Networks against Targeted Attacks

We show that real multiplex networks are unexpectedly robust against targeted attacks on high-degree nodes and that hidden interlayer geometric correlations predict this robustness. Without geometric correlations, multiplexes exhibit an abrupt breakdown of mutual connectivity, even with interlayer d...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Physical review letters Jg. 118; H. 21; S. 218301 - 218306
Hauptverfasser: Kleineberg, Kaj-Kolja, Buzna, Lubos, Papadopoulos, Fragkiskos, Boguñá, Marián, Serrano, M. Ángeles
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States American Physical Society 25.05.2017
Schlagworte:
Complex systems
Correlació (Estadística)
Correlation (Statistics)
Sistemes complexos
ISSN:0031-9007, 1079-7114, 1079-7114
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:We show that real multiplex networks are unexpectedly robust against targeted attacks on high-degree nodes and that hidden interlayer geometric correlations predict this robustness. Without geometric correlations, multiplexes exhibit an abrupt breakdown of mutual connectivity, even with interlayer degree correlations. With geometric correlations, we instead observe a multistep cascading process leading into a continuous transition, which apparently becomes fully continuous in the thermodynamic limit. Our results are important for the design of efficient protection strategies and of robust interacting networks in many domains.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0031-9007
1079-7114
1079-7114
DOI:10.1103/PhysRevLett.118.218301