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Titlebook: Complex Spreading Phenomena in Social Systems; Influence and Contag Sune Lehmann,Yong-Yeol Ahn Book 2018 Springer International Publishing

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發(fā)表于 2025-3-21 17:50:03 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Complex Spreading Phenomena in Social Systems
副標題Influence and Contag
編輯Sune Lehmann,Yong-Yeol Ahn
視頻videohttp://file.papertrans.cn/232/231541/231541.mp4
概述Contains for the first time in a single volume, chapters that take the reader from novice to expert on spreading processes in social systems.Uniquely emphasizes a data-driven approach to the problem o
叢書名稱Computational Social Sciences
圖書封面Titlebook: Complex Spreading Phenomena in Social Systems; Influence and Contag Sune Lehmann,Yong-Yeol Ahn Book 2018 Springer International Publishing
描述.This text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and data-driven approaches..This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the state of the art. Part 2.?.provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreading processes in real-world networks. Finally, Part 4?goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily...Each contribution is authored by leading experts in the field. This volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to th
出版日期Book 2018
關(guān)鍵詞influence spreading; complex contagion; spreading in social systems; epidemic and social spreading; spre
版次1
doihttps://doi.org/10.1007/978-3-319-77332-2
isbn_softcover978-3-030-08430-1
isbn_ebook978-3-319-77332-2Series ISSN 2509-9574 Series E-ISSN 2509-9582
issn_series 2509-9574
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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A Simple Person’s Approach to Understanding the Contagion Condition for Spreading Processes on Genernetworks. We show how the contagion condition can be broken into three elements, two structural in nature, and the third a meshing of the contagion process and the network. The contagion conditions we obtain reflect the spreading dynamics in a clear, interpretable way. For threshold contagion, we di
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Slightly Generalized Contagion: Unifying Simple Models of Biological and Social Spreadingion. Generalized contagion builds on the elementary observation that spreading and contagion of all kinds involve some form of system memory. We discuss the three main classes of systems that generalized contagion affords, resembling: simple biological contagion; critical mass contagion of social ph
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Probing Empirical Contact Networks by Simulation of Spreading Dynamics of the spreading processes. By investigating these relationships one gains understanding both of the spreading itself and the structure and function of the contact network. In this chapter, we will summarize the recent literature using simulation of spreading processes on top of empirical contact d
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Service Adoption Spreading in Online Social Networksfabric of society. This process is arguably driven by social influence, social learning and by external effects like media. Observations of such processes date back to the seminal studies by Rogers and Bass, and their mathematical modelling has taken two directions: One paradigm, called simple conta
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