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...

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Vydané v:Physical review letters Ročník 118; číslo 21; s. 218301 - 218306
Hlavní autori: Kleineberg, Kaj-Kolja, Buzna, Lubos, Papadopoulos, Fragkiskos, Boguñá, Marián, Serrano, M. Ángeles
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States American Physical Society 25.05.2017
Predmet:
Complex systems
Correlació (Estadística)
Correlation (Statistics)
Sistemes complexos
ISSN:0031-9007, 1079-7114, 1079-7114
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Abstract 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.
AbstractList 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.
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.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.
ArticleNumber 218301
Author Papadopoulos, Fragkiskos
Kleineberg, Kaj-Kolja
Buzna, Lubos
Serrano, M. Ángeles
Boguñá, Marián
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Snippet We show that real multiplex networks are unexpectedly robust against targeted attacks on high-degree nodes and that hidden interlayer geometric correlations...
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SubjectTerms Complex systems
Correlació (Estadística)
Correlation (Statistics)
Sistemes complexos
Title Geometric Correlations Mitigate the Extreme Vulnerability of Multiplex Networks against Targeted Attacks
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