Resilience and recovery in complex networks

In this final year project, we investigate the resilience and recovery of simulated evolving complex network of various edge addition and edge swapping mechanism. This is to better understand which mechanism improves a certain metric in the system that implies the network's resilience against a...

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Bibliographic Details
Main Author: Sy, Gerico Arquiza
Other Authors: Cheong Siew Ann
Format: Final Year Project (FYP)
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/65875
Description
Summary:In this final year project, we investigate the resilience and recovery of simulated evolving complex network of various edge addition and edge swapping mechanism. This is to better understand which mechanism improves a certain metric in the system that implies the network's resilience against attacks that diminish that metric for applications in the recovery real life complex networks. It was found that networks that evolve mainly through the random mechanism in edge addition and edge swapping yields a network where the network connectivity of the network recovers the fastest, implying they are resilient when connectivity is of concern. However, networks that evolve through the preferential attachment mechanism in edge addition and edge swapping yields a network that recovers the fastest in terms of network efficiency or health, and thus, are resilient in this respect.