An efficiency measure for dynamic networks modeled as evolutionary variational inequalities with application to the Internet and vulnerability analysis
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References listed on IDEAS
- Pas, Eric I. & Principio, Shari L., 1997. "Braess' paradox: Some new insights," Transportation Research Part B: Methodological, Elsevier, vol. 31(3), pages 265-276, June.
- Cojocaru, Monica-Gabriela & Daniele, Patrizia & Nagurney, Anna, 2006. "Double-layered dynamics: A unified theory of projected dynamical systems and evolutionary variational inequalities," European Journal of Operational Research, Elsevier, vol. 175(1), pages 494-507, November.
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- Grzegorz Hałaj & Christoffer Kok, 2013.
"Assessing interbank contagion using simulated networks,"
Computational Management Science,
Springer, vol. 10(2), pages 157-186, June.
- Kok, Christoffer & Hałaj, Grzegorz, 2013. "Assessing interbank contagion using simulated networks," Working Paper Series 1506, European Central Bank.
- Qiang, Patrick & Nagurney, Anna, 2012. "A bi-criteria indicator to assess supply chain network performance for critical needs under capacity and demand disruptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 801-812.
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KeywordsNetwork efficiency; Performance measurement; Dynamic networks; Internet; Braess paradox; Vulnerability analysis; Critical network components; Evolutionary variational inequalities;
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