Computational complexity of impact size estimation for spreading processes on networks
DOI10.1140/epjb/e2009-00344-7zbMath1188.90282OpenAlexW1972648348MaRDI QIDQ977764
Marco Laumanns, Rico Zenklusen
Publication date: 23 June 2010
Published in: The European Physical Journal B. Condensed Matter and Complex Systems (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/20.500.11850/19034
computational complexitynetworkscomplex systemsjustifications or modifications of Monte Carlo methods
Small world graphs, complex networks (graph-theoretic aspects) (05C82) Abstract computational complexity for mathematical programming problems (90C60) Graph theory (including graph drawing) in computer science (68R10)
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Cites Work
- Unnamed Item
- On the critical behavior of the general epidemic process and dynamical percolation
- Reaction-diffusion processes and epidemic metapopulation models in complex networks
- Monte-Carlo algorithms for the planar multiterminal network reliability problem
- Network reliability and the probabilistic estimation of damage from fire spread
- Thresholds for virus spread on networks
- The Complexity of Counting Cuts and of Computing the Probability that a Graph is Connected
- Bounding the Size and Probability of Epidemics on Networks
- A Linear-Time Algorithm for Computing K-Terminal Reliability in Series-Parallel Networks
- The Complexity of Reliability Computations in Planar and Acyclic Graphs
- The Complexity of Enumeration and Reliability Problems
- Complexity of network reliability computations
- Optimal Reduction of Two-Terminal Directed Acyclic Graphs
- The Delta-Wye Approximation Procedure for Two-Terminal Reliability
- An Optimal Algorithm for Monte Carlo Estimation
- Renormalization of two—terminal reliability
- Counting over non-planar graphs
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