Towards Visual Sociolinguistic Network Analysis

Kostiantyn Kucher, Kostiantyn Kucher, Masoud Fatemi, Masoud Fatemi, Mikko Laitinen, Mikko Laitinen

Abstract

Investigation of social networks formed by individuals in various contexts provides numerous interesting and important challenges for researchers and practitioners in multiple disciplines. Within the field of variationist sociolinguistics, social networks are analyzed in order to reveal the patterns of language variation and change while taking the social, cultural, and geographical aspects into account. In this field, traditional approaches usually focusing on small, manually collected data sets can be complemented with computational methods and large digital data sets extracted from online social network and social media sources. However, increasing data size does not immediately lead to the qualitative improvement in the understanding of such data. In this position paper, we propose to address this issue by a joint effort combining variationist sociolinguistics and computational network analyses with information visualization and visual analytics. In order to lay the foundation for this interdisciplinary collaboration, we analyse the previous relevant work and discuss the challenges related to operationalization, processing, and exploration of such social networks and associated data. As the result, we propose a roadmap towards realization of visual sociolinguistic network analysis.

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Paper Citation


in Harvard Style

Kucher K., Fatemi M. and Laitinen M. (2021). Towards Visual Sociolinguistic Network Analysis.In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP, ISBN 978-989-758-488-6, pages 248-255. DOI: 10.5220/0010328202480255


in Bibtex Style

@conference{ivapp21,
author={Kostiantyn Kucher and Masoud Fatemi and Mikko Laitinen},
title={Towards Visual Sociolinguistic Network Analysis},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP,},
year={2021},
pages={248-255},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010328202480255},
isbn={978-989-758-488-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP,
TI - Towards Visual Sociolinguistic Network Analysis
SN - 978-989-758-488-6
AU - Kucher K.
AU - Fatemi M.
AU - Laitinen M.
PY - 2021
SP - 248
EP - 255
DO - 10.5220/0010328202480255