| 书目名称 | Diffusion in Social Networks | | 编辑 | Paulo Shakarian,Abhivav Bhatnagar,Ruocheng Guo | | 视频video | | | 概述 | Includes supplementary material: | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | This book presents the leading models of social network diffusion that are used to demonstrate the spread of disease, ideas, and behavior. It introduces diffusion models from the fields of computer science (independent cascade and linear threshold), sociology (tipping models), physics (voter models), biology (evolutionary models), and epidemiology (SIR/SIS and related models). A variety of properties and problems related to these models are discussed including identifying seeds sets to initiate diffusion, game theoretic problems, predicting diffusion events, and more. The book explores numerous connections between social network diffusion research and artificial intelligence through topics such as agent-based modeling, logic programming, game theory, learning, and data mining. The book also surveys key empirical results in social network diffusion, and reviews the classic and cutting-edge research with a focus on open problems. | | 出版日期 | Book 2015 | | 关键词 | artificial intelligence; diffusion; influence; network science; social networks | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-23105-1 | | isbn_softcover | 978-3-319-23104-4 | | isbn_ebook | 978-3-319-23105-1Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s) 2015 |
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发表于 2025-3-21 18:07:00
