Diffusion source localization in large networks /

Bibliographic Details
Main Authors:	Ying, Lei (Telecommunication engineer) (Author), Zhu, Kai (Author)
Corporate Author:	Morgan & Claypool Publishers
Format:	eBook
Language:	English
Published:	[San Rafael, California] : Morgan & Claypool, 2018.
Series:	Synthesis digital library of engineering and computer science. Synthesis lectures on communication networks ; # 21.
Subjects:	Diffusion processes > Mathematical models. Jordan infection center diffusion processes epidemic processes large networks rumor center social networks source localization Electronic books.
Online Access:	Connect to the full text of this electronic book (PDF)

Description
Abstract:	Diffusion processes in large networks have been used to model many real-world phenomena, including how rumors spread on the Internet, epidemics among human beings, emotional contagion through social networks, and even gene regulatory processes. Fundamental estimation principles and efficient algorithms for locating diffusion sources can answer a wide range of important questions, such as identifying the source of a widely spread rumor on online social networks. This book provides an overview of recent progress on source localization in large networks, focusing on theoretical principles and fundamental limits. The book covers both discrete-time diffusion models and continuous-time diffusion models. For discrete-time diffusion models, the book focuses on the Jordan infection center; for continuous-time diffusion models, it focuses on the rumor center. Most theoretical results on source localization are based on these two types of estimators or their variants. This book also includes algorithms that leverage partial-time information for source localization and a brief discussion of interesting unresolved problems in this area.
Item Description:	Part of: Synthesis digital library of engineering and computer science.
Physical Description:	1 online resource (xv, 79 pages) : illustrations. Also available in print.
Format:	Mode of access: World Wide Web. System requirements: Adobe Acrobat Reader.
Bibliography:	Includes bibliographical references (pages 73-77).
ISBN:	9781681733685
ISSN:	1935-4193 ;
DOI:	10.2200/S00852ED2V01Y201805CNT021
Access:	Abstract freely available; full-text restricted to subscribers or individual document purchasers.