社交网络中的扩散与涌现

A. Namatame
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引用次数: 4

摘要

扩散是指新产品和新做法被发明出来并成功地引入社会的过程。人们对个人创新的扩散进行了大量的研究,许多研究都表现出共同的特征,比如著名的s形扩散曲线。创新扩散提出的一个基本问题是,为什么在一项创新首次出现和大量人采用它之间往往存在很长的滞后时间。大量的理论和实证文献致力于这一现象及其背后的机制。新的想法、产品和创新往往需要时间来传播,这一事实通常归因于人类人口的异质性。在本章中,我们概述了社会网络结构如何影响传播过程的研究。扩散过程通过将有关创新效用的信息反馈给许多不同的用户来增强创新,这些信息可用于未来的改进。这方面的扩散过程类似于微观宏观循环,这是涌现的重要组成部分。本研究的目的是了解社会网络的结构如何决定这些网络中出现的各种类型的紧急属性的动态。在社会层面上,社会互动的模式是至关重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diffusion and Emergence in Social Networks
Diffusion is the process by which new products and practices are invented and successfully introduced into society. Numerous studies on the diffusion of individual innovations have been conducted, many exhibiting common features such as the famous S-shaped diffusion curve. One basic question posed by innovation diffusion is why there is often a long lag time between an innovation’s first appearance and the time when a substantial number of people have adopted it. An extensive amount of theoretical and empirical literature has been devoted to this phenomenon and the mechanisms behind it. New ideas, products, and innovations often take time to diffuse, a fact that is often attributed to the heterogeneity of human populations. In this chapter, we provide an overview of research examining how the structure of social networks impacts diffusion process. The diffusion process enhances innovations via feedback of information about the innovation’s utility—which can be used to make future improvements—to many different users. This aspect of the diffusion process is similar to the micro-macro loop, which is an essential part of emergence. The aim of this research is to understand how the structure of social networks determines the dynamics of various types of emergent properties occurring within those networks. For emergence at the social level, patterns of social interactions are critical.
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