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Conference object . 2021
Data sources: Datacite
ZENODO
Conference object . 2021
Data sources: ZENODO
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Data Mining / Live Scoring – A Live Performance of a Computer-Aided Composition Based on Twitter

Authors: Alexandros Drymonitis; Nicoleta Chatzopoulou;

Data Mining / Live Scoring – A Live Performance of a Computer-Aided Composition Based on Twitter

Abstract

Data Mining / Live Scoring is a project for an algorithmic composition for a six-member acoustic ensemble aided by a computer. This performance is based on Twitter, where tweets are being downloaded and analyzed during the performance. The analysis of the tweets determines various parameters of the algorithmic composition which is being carried out in parts during the show. The resulting scores are being projected on screens for the ensemble members to sight read. The score projection includes a blinking cursor controlled by the main computer which facilitates coordination between the performers and highlights the bar currently being played. The performance is accompanied by a light installation part of which is used to communicate the sentiment of the score to the musicians.

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citations
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).
BIP!Citations provided by BIP!
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!
0
Average
Average
Average
Green