Multi-level Modeling of Quotation Families Morphogenesis

E. Omodei, T. Poibeau, Jean-Philippe Cointet
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引用次数: 5

Abstract

This paper investigates cultural dynamics in social media by examining the proliferation and diversification of clearly-cut pieces of content: quoted texts. In line with the pioneering work of Leskovec et al. and Simmons et al. on memes dynamics we investigate in deep the transformations that quotations published online undergo during their diffusion. We deliberately put aside the structure of the social network as well as the dynamical patterns pertaining to the diffusion process to focus on the way quotations are changed, how often they are modified and how these changes shape more or less diverse families and sub-families of quotations. Following a biological metaphor, we try to understand in which way mutations can transform quotations at different scales and how mutation rates depend on various properties of the quotations.
引文族形态发生的多层次建模
本文通过研究清晰的内容片段的扩散和多样化来研究社交媒体中的文化动态:引用文本。根据Leskovec等人和Simmons等人在模因动力学方面的开创性工作,我们深入研究了在线发布的引文在传播过程中所经历的转变。我们有意将社会网络的结构以及与传播过程相关的动态模式放在一边,专注于报价的变化方式、修改频率以及这些变化如何或多或少地塑造了报价的不同家族和亚家族。按照生物学的比喻,我们试图理解突变是如何在不同的尺度上改变引文的,以及突变率是如何依赖于引文的不同属性的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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