Minds and Machines 28 (4):709-733 (2018)

Authors
Markus Luczak-Roesch
Victoria University of Wellington
Jesse David Dinneen
Humboldt-University, Berlin
Abstract
A 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.
Keywords complexity science  network science  philosophy  information  socio-technical systems  information theory  temporal data mining  information systems  social network analysis
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DOI 10.1007/s11023-018-9478-1
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References found in this work BETA

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