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Diffusion Source Localization in Large Networks / by Lei Ying, Kai Zhu.

Springer Nature Synthesis Collection of Technology Collection 8 Available online

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Format:
Book
Author/Creator:
Ying, Lei., Author.
Zhu, Kai., Author.
Series:
Synthesis Lectures on Learning, Networks, and Algorithms, 2690-4314
Language:
English
Subjects (All):
Artificial intelligence.
Cooperating objects (Computer systems).
Programming languages (Electronic computers).
Telecommunication.
Artificial Intelligence.
Cyber-Physical Systems.
Programming Language.
Communications Engineering, Networks.
Local Subjects:
Artificial Intelligence.
Cyber-Physical Systems.
Programming Language.
Communications Engineering, Networks.
Physical Description:
1 online resource (XV, 79 p.)
Edition:
1st ed. 2018.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
Summary:
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.
Contents:
Preface
Acknowledgments
Motivation and Background
Source Localization under Discrete-Time Diffusion Models
Source Localization under Continuous-Time Diffusion Models
Source Localization with Partial Timestamps
Open Questions
Bibliography
Authors' Biographies.
ISBN:
9783031792854
3031792858

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