Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/49912

Topic Analysis through Streamgraph via Shiny Application: A Social Collaborative Approach

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Title:Topic Analysis through Streamgraph via Shiny Application: A Social Collaborative Approach
Authors:Scrivner, Olga
Chakilam, Vinita
Sahoo, Nilima
De Spiegeleire, Stephan
Keywords:Data Science and Digital Collaborations
web application social collaboration interactive visualization collaborative design
Date Issued:03 Jan 2018
Abstract:With the increasing complexity and volume of data, the transformation from streaming information into actionable knowledge becomes more and more challenging and requires a synthesis of computational and substantive approaches. In this view, the collaboration between developers and substantive experts is essential for obtaining meaningful and strategic insights. Despite the large number of various platforms and software to develop a customized tool, the main challenge is developing social organizational forms for communication. In this paper, we explore a new method of organization workflow, namely a social collaboration via the rizzoma platform. In particular, we introduce our on-going project for developing a research-driven visualization portal that is responsive to the need of specific research in strategic studies.
Pages/Duration:7 pages
URI:http://hdl.handle.net/10125/49912
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.025
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Data Science and Digital Collaborations


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