A1 Refereed original research article in a scientific journal
Online Writing Data Representation: A Graph Theory Approach
Authors: Caporossi Gilles, Leblay Christophe
Publisher: Springer
Publishing place: Heidelberg, Dordrecht, London, New York
Publication year: 2011
Journal: Lecture Notes in Computer Science
Book title : Advances in Intelligent Data Analysis X
Journal name in source: ADVANCES IN INTELLIGENT DATA ANALYSIS X
Journal acronym: LECT NOTES COMPUT SC
Volume: 7014
First page : 80
Last page: 89
Number of pages: 10
ISBN: 978-3-642-24799-6
ISSN: 0302-9743
DOI: https://doi.org/10.1007/978-3-642-24800-9_10(external)
Web address : http://www.springerlink.com/content/3l4m00qm5334t628/fulltext.pdf(external)
There are currently several systems to collect online writing data in keystroke logging. Each of these systems provides reliable and very precise data. Unfortunately, due to the large amount of data recorded, it is almost impossible to analyze except for very limited recordings. In this paper, we propose a representation technique based upon graph theory that provides a new viewpoint to understand the writing process. The current application is aimed at representing the data provided by Script Log although the concepts can be applied in other contexts.
