Spreading processes in complex networks and systems

Doctoral thesis (2022)

Authors

L. Ma Network Architectures and Services - EEMCS
Research Group
Network Architectures and Services (EEMCS) (TU Delft)
Copyright: © 2021 L. Ma
DOI: https://doi.org/10.4233/uuid:0a27d29e-604e-4122-b646-0d79b7e9fbc7
Complex Networks Markov Chains Epidemics COVID-19 Pandemic Inferring Network Properties Reporting Delays Forecast Spectral Clustering Error Accumulation Quantum Circuits
More Info
expand_more

Published Date

2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Quantum & Computer Engineering

Research Group

Network Architectures and Services

Abstract

Complex systems are made up of many interconnected components. The interactions between components further produce emerging complex collective behaviors. In most cases, a complex system can be represented as a network in which the nodes represent the elements and the connected links illustrate the interactions. The spreading process is one of the most important dynamics in complex networks and systems. Since 2000, scientific findings related to spreading models and complex networks are experiencing a boom. Quantum computers are also complex systems. The development of quantum computing is to bring qualitative change to many fields by solving some problems faster than classical computers. However, during quantum computing, errors are spreading in the quantum circuits and accumulated with time...