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The causal relationship k

Authors: Barukčić, Ilija;

The causal relationship k

Abstract

Published at: MATEC Web of Conferences: ISSN: 2261-236X. ( https://www.matec-conferences.org/ ) https://doi.org/10.1051/matecconf/202133609032 MATEC Web Conf. Volume 336, 2021 Article Number: 09032 Number of page(s): 28 2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020) https://doi.org/10.1051/matecconf/202133609032 Published online: 15 February 2021 see also: 2020 2nd International Conference on Computer Science, Communication and Network Security (CSCNS2020 Sanya, China December 22-23, 2020 http://www.cscns.org/ Contact via email: submit@cscns.org or cscns2020@sina.com http://www.cscns.org/keynote.html

2020 2nd International Conference on Computer Science, Communication and Network Security (CSCNS2020): The causal relationship k. Video of my contribution: high resolution.

Keywords

Causation, Barukčić, Statistical methods, Causal relationship, Pearson, Cause, Causality, Kant, Cause and effect, Counterfactual theories of causation, Boole, Effect, Probabilitistic theories of causation, Hume, Barukcic, Barukčić, Conference, Barukčić, Ilija, Causal inference

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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