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In:Writing(s) at the Crossroads: The process–product interface
Edited by Georgeta Cislaru
[Not in series 194] 2015
► pp. 171–182

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A graph theory approach to online writing data visualization

 | ITEM-TERs and University of Turku, Finland
 | ITEM-TERs and HEC Montreal, Canada
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Available under the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) 4.0 license.

For any use beyond this license, please contact the publisher at rights@benjamins.nl.

Published online: 5 August 2015
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https://doi.org/10.1075/z.194.09leb
There are currently several systems for collecting online writing data using keystroke logging. Each of these systems provides reliable and very precise data. Unfortunately, with the exception of very brief recordings, such huge amounts of data are generated that it is virtually impossible to analyze them. In this chapter, we describe a representation technique based on graph theory that allows the writing process to be understood from a fresh viewpoint. This application was originally intended to represent the data provided by ScriptLog, but the concepts can be applied in other contexts, too.
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[no author supplied]
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This list is based on CrossRef data as of 24 november 2025. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

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