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The role of data science in web science

Phethean, Christopher, Simperl, Elena, Tiropanis, Thanassis, Tinati, Ramine and Hall, Wendy (2016) The role of data science in web science IEEE Intelligent Systems, 31, (3), pp. 120-107.

Record type: Article


Web science relies on an interdisciplinary approach that seeks to go beyond what any one subject can say about the World Wide Web. By incorporating numerous disciplinary perspectives and relying heavily on domain knowledge and expertise, data science has emerged as an important new area that integrates statistics with computational knowledge, data collection, cleaning and processing, analysis methods, and visualization to produce actionable insights from big data. As a discipline to use within Web science research, data science offers significant opportunities for uncovering trends in large Web-based datasets. A Web science observatory exemplifies this relationship by offering an online platform of tools for carrying out Web science research, allowing users to carry out data science techniques to produce insights into Web science issues such as community development, online behavior, and information propagation. The authors outline the similarities and differences of these two growing subject areas to demonstrate the important relationship developing between them

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Accepted/In Press date: 26 April 2016
Published date: 25 May 2016
Organisations: Web & Internet Science


Local EPrints ID: 396515
ISSN: 1541-1672
PURE UUID: 59c0560c-0edb-482a-9b01-56888a71d10d
ORCID for Elena Simperl: ORCID iD
ORCID for Thanassis Tiropanis: ORCID iD
ORCID for Wendy Hall: ORCID iD

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Date deposited: 09 Jun 2016 07:48
Last modified: 02 Oct 2017 13:20

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Author: Christopher Phethean
Author: Elena Simperl ORCID iD
Author: Ramine Tinati
Author: Wendy Hall ORCID iD

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