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Synerg(e)ia: A Networked Collaborative Live coding environment

Authors: Agiomyrgianakis, Vasilis; Svoronos - Kanavas, Iannis; Zannos, Iannis; Diapoulis, Georgios;

Synerg(e)ia: A Networked Collaborative Live coding environment

Abstract

Synerg(e)ia (Συνέργεια) is an experimental project for networked collaborative live coding practice using Emacs. e goal of this study is to facilitate remote collaboration among live coders and deliver an a ractive interface that o ers code sharing and audio synthesizing on-the- y. We build an environment that provides necessary features of networked collaborative live coding namely as time sharing, code sharing, access control, communication facilitation. Synergia relies entirely on sharing code and executing it on each performer’s system in order to produce audio. Synergia is based on PIVPN technology for server-client communication that runs on a Raspberry Pi 3. VPN o ers an easy and secure access for the users to connect to the server. Additionally, Synergia uses open-source so ware such as tmux terminal multiplexer, Emacs, and OSCGroups. It also uses a variant version of sc-hacks-redux OscGroups class in SuperCollider to manage and send messages to client’s SuperCollider programming environment. While there are numerous environments for collaborative coding, Emacs o ers an a ractive alternative for an experienced user/programmer. ere is a broad variety of customisation features that may be implemented on Emacs. Also, many computer music languages, like SuperCollider, Tidal, Foxdot, Impromptu and more, support Emacs connectivity. Ge ing advantage of these features and functionality our system may be used for reproducible research.

Keywords

Live coding, nextworked practice

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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).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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