AbstractA new layer of complexity, constituted of networks of information token recurrence, has been identified in socio-technical systems such as the Wikipedia online community and the Zooniverse citizen science platform. The identification of this complexity reveals that our current understanding of the actual structure of those systems, and consequently the structure of the entire World Wide Web, is incomplete, which raises novel questions for data science research but also from the perspective of social epistemology. Here we establish the principled foundations and practical advantages of analyzing information diffusion within and across Web systems with Transcendental Information Cascades, and outline resulting directions for future study in the area of socio-technical systems. We also suggest that Transcendental Information Cascades may be applicable to any kind of time-evolving system that can be observed using digital technologies, and that the structures found in such systems comprise properties common to all naturally occurring complex systems.

中文翻译：

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我们编织的纠缠网络是什么：一种以信息为中心的方法来应对时间演变的社会技术系统

摘要 在维基百科在线社区和 Zooniverse 公民科学平台等社会技术系统中，已经确定了由信息令牌重复网络构成的新复杂层。这种复杂性的识别表明，我们目前对这些系统的实际结构以及整个万维网的结构的理解是不完整的，这为数据科学研究以及社会认识论的角度提出了新的问题。在这里，我们建立了使用超验信息级联分析 Web 系统内和跨 Web 系统的信息传播的原则基础和实际优势，并概述了社会技术系统领域未来研究的结果方向。