An Introduction to Data Visualisation of the Writing Process - (Hardcover)

About the Book

This volume lays the foundations for the use of visualisations in the study of writing. It provides chapters on visualisation theories, practical visualisations of writing and a corpus-based glossary.

Book Synopsis

An Introduction to Data Visualisation of the Writing Process, aims to address the growing need for sophisticated methods to interpret and analyse the complex data available through various data acquisition techniques. This volume provides a comprehensive overview of academic and professional writing settings across a wide range of disciplines, including linguistics, text genetics, psychology, mathematical modelling, computer science, information science, engineering neuroscience, modern language studies, education and other professional degree programmes.
With data visualisation becoming essential for understanding data in ways that were previously impossible, this new volume offers a unique introduction tailored to the needs of learners, teachers and researchers involved in the study of writing and its process.

Contributors are Pavithra M. Basnayake, Lamyk Bekius, Floor Buschenhenke, Gilles Caporossi, Georgeta Cislaru, Nistor Grozavu, Alain Hertz, Juuso Koponen, Päivi Laine, Christophe Leblay, Maarit Mutta, Mari Mäkilä, Thierry Olive, Maxime Olivié, Daniel Perrin, Linda Sandström, Andreas Sellstone, Kirk P.H. Sullivan, Florence Tanoï Namio, Hakim Usoof, and Anne-Maj Åberg.

About the Author

Christophe Leblay (PhD) is Adjunct Professor at the School of Languages and Translation Studies at Turku University, Finland. His research focuses on text genetics, with a particular focus on writing processes and their visual representations. He is also an associate researcher at Institut des textes et manuscrits modernes (ITEM).

Hakim Usoof (PhD) is Senior Lecturer in Computer Science at the University of Peradeniya's Department of Statistics & Computer Science, Sri Lanka. His expertise spans human-computer interaction, data visualisation and explainable AI. His work emphasizes interdisciplinary collaboration and applied research methodologies.

Gilles Caporossi (PhD) is a professor at HEC Montréal in the Department of Decision Sciences. His research interests include graph theory, algorithmic and artificial intelligence. He is a member of the GERAD (Group for Research in Decision Analysis), and of the International Academy for Mathematical Chemistry.

Christophe Leblay, Hakim Usoof and Gilles Caporossi co-developed the Genographix (ggxlog.net) keylogger software, which was based on a combination of text genetics and graph theory.