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Diffusion in Networks: Source Localization, History Reconstruction and Real-time Network Robustification

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자료유형E-Book
개인저자Chen, Zhen.
단체저자명Arizona State University. Electrical Engineering.
서명/저자사항Diffusion in Networks: Source Localization, History Reconstruction and Real-time Network Robustification.
발행사항[S.l.] : Arizona State University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항163 p.
소장본 주기School code: 0010.
ISBN9780355911091
일반주기 Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Advisers: Lei Ying
요약Diffusion processes in networks can be used to model many real-world processes, such as the propagation of a rumor on social networks and cascading failures on power networks. Analysis of diffusion processes in networks can help us answer import
요약In the first part, we study the problem of locating multiple diffusion sources in networks under the Susceptible-Infected-Recovered (SIR) model. Given a complete snapshot of the network, we developed a sample-path-based algorithm, named clusteri
요약In the second part, we tackle the problem of reconstructing the diffusion history from partial observations. We formulated the diffusion history reconstruction problem as a maximum a posteriori (MAP) problem and proved the problem is NP hard. Th
요약In the third part, we consider the problem of improving the robustness of an interdependent network by rewiring a small number of links during a cascading attack. We formulated the problem as a Markov decision process (MDP) problem. While the pr
일반주제명Electrical engineering.
Computer science.
Computer engineering.
언어영어
기본자료 저록Dissertation Abstracts International79-09B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997662

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