Analytical Approximation for ATTR with Respect to Node Removals

Conference Paper (2024)
Author(s)

F. Wang (TU Delft - Network Architectures and Services)

Jinyi Zou (Student TU Delft)

Robert Kooij (TU Delft - Quantum & Computer Engineering, TNO)

Research Group
Network Architectures and Services
DOI related publication
https://doi.org/10.1109/DRCN60692.2024.10539165
More Info
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Publication Year
2024
Language
English
Research Group
Network Architectures and Services
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
24-31
ISBN (print)
979-8-3503-4898-9
ISBN (electronic)
979-8-3503-4897-2
Reuse Rights

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Abstract

We propose an analytical approach to approximate the average two-Terminal reliability (ATT R) for graphs where a fraction of the nodes is removed. The approximation is based on the generating function of the network's degree distribution under random node removals and stochastic degree-based node removals. Through validation on synthetic graphs, including Erdos Renyi random graphs and Barabasi-Albert graphs, as well as four real-world networks from the Internet Topology Zoo, we observe that the analytical method effectively approximates the average two-Terminal reliability under random node removals for synthetic graphs. In the case of real-world graphs under random and stochastic degree-based node removals or synthetic graphs under stochastic degree-based node removals, the analytical ap-proximation yields reasonably accurate results when the fraction of removed nodes is small, specifically less than 10%, provided that the initial analytical approximation closely aligns with the real ATT R values.

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