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. (doi:10.1109/MIS.2016.54).

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Description/Abstract

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

Item Type: Article
Digital Object Identifier (DOI): doi:10.1109/MIS.2016.54
ISSNs: 1541-1672 (print)
Organisations: Web & Internet Science
ePrint ID: 396515
Date :
Date Event
26 April 2016Accepted/In Press
25 May 2016Published
Date Deposited: 09 Jun 2016 07:48
Last Modified: 16 Apr 2017 17:04
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/396515

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