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

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dc.contributor.authorScrivner, Olga
dc.contributor.authorChakilam, Vinita
dc.contributor.authorSahoo, Nilima
dc.contributor.authorDe Spiegeleire, Stephan
dc.date.accessioned2017-12-28T00:33:11Z
dc.date.available2017-12-28T00:33:11Z
dc.date.issued2018-01-03
dc.description.abstractWith 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.
dc.format.extent7 pages
dc.identifier.doi10.24251/HICSS.2018.025
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/49912
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectData Science and Digital Collaborations
dc.subjectweb application social collaboration interactive visualization collaborative design
dc.titleTopic Analysis through Streamgraph via Shiny Application: A Social Collaborative Approach
dc.typeConference Paper
dc.type.dcmiText

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