What an entangled web we weave: an information-centric approach to time-evolving socio-technical systems
What an entangled web we weave: an information-centric approach to time-evolving socio-technical systems
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.
Information, Philosophy, Temporal data mining, Bursts, Information dynamics, socio-technical systems, Information theory, Information cascades, complexity science, Network science, Epistemology, Knowledge, truth, Time
Luczak-Roesch, Markus
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O'hara, Kieron
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Dineen, Jesse David
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Tinati, Ramine
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Luczak-Roesch, Markus
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O'hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
Dineen, Jesse David
d6216cad-4447-40f7-ba6d-333c4718c154
Tinati, Ramine
e85c78e3-42a8-408a-8f36-1b47c57bc6c9
Luczak-Roesch, Markus, O'hara, Kieron, Dineen, Jesse David and Tinati, Ramine
(2018)
What an entangled web we weave: an information-centric approach to time-evolving socio-technical systems.
Minds and Machines.
(doi:10.1007/s11023-018-9478-1).
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.
Text
main minds and machines accepted version
- Accepted Manuscript
More information
Accepted/In Press date: 14 September 2018
e-pub ahead of print date: 20 September 2018
Keywords:
Information, Philosophy, Temporal data mining, Bursts, Information dynamics, socio-technical systems, Information theory, Information cascades, complexity science, Network science, Epistemology, Knowledge, truth, Time
Identifiers
Local EPrints ID: 423811
URI: http://eprints.soton.ac.uk/id/eprint/423811
PURE UUID: 7e31e9c3-fd31-4e6d-8c21-ebe9c6284201
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Date deposited: 02 Oct 2018 16:30
Last modified: 16 Mar 2024 07:08
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Contributors
Author:
Markus Luczak-Roesch
Author:
Jesse David Dineen
Author:
Ramine Tinati
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