Inverse Percolation to Quantify Robustness in Multiplex Networks
المؤلفون المشاركون
Montes-Orozco, Edwin
Mora-Gutiérrez, Roman-Anselmo
Obregón-Quintana, Bibiana
de-los-Cobos-Silva, Sergio-G.
Rincón-García, Eric A.
Lara-Velázquez, Pedro
Gutiérrez-Andrade, Miguel A.
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-31
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Inverse percolation is known as the problem of finding the minimum set of nodes whose elimination of their links causes the rupture of the network.
Inverse percolation has been widely used in various studies of single-layer networks.
However, the use and generalization of multiplex networks have been little considered.
In this work, we propose a methodology based on inverse percolation to quantify the robustness of multiplex networks.
Specifically, we present a modified version of the mathematical model for the multiplex-vertex separator problem (m-VSP).
By solving the m-VSP, we can find nodes that cause the rupture of the mutually connected giant component (MCGC) and the large viable cluster (LVC) when their links are removed from the network.
The methodology presented in this work was tested in a set of benchmark networks, and as case study, we present an analysis using a set of multiplex social networks modeled with information about the main characteristics of the best universities in the world and the universities in Mexico.
The results show that the methodology presented in this work can work in different models and types of 2- and 3-layer multiplex networks without dividing the entire multiplex network into single-layer as some techniques described in the specific literature.
Furthermore, thanks to the fact that the technique does not require the calculation of some structural measure or centrality metric, and it is easy to scale for networks of different sizes.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mora-Gutiérrez, Roman-Anselmo& Obregón-Quintana, Bibiana& de-los-Cobos-Silva, Sergio-G.& Rincón-García, Eric A.& Lara-Velázquez, Pedro& Gutiérrez-Andrade, Miguel A.…[et al.]. 2020. Inverse Percolation to Quantify Robustness in Multiplex Networks. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1144557
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mora-Gutiérrez, Roman-Anselmo…[et al.]. Inverse Percolation to Quantify Robustness in Multiplex Networks. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1144557
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mora-Gutiérrez, Roman-Anselmo& Obregón-Quintana, Bibiana& de-los-Cobos-Silva, Sergio-G.& Rincón-García, Eric A.& Lara-Velázquez, Pedro& Gutiérrez-Andrade, Miguel A.…[et al.]. Inverse Percolation to Quantify Robustness in Multiplex Networks. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1144557
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1144557
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر