The role of data science in web science
The role of data science in web science
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.
102-107
Phethean, Christopher
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Simperl, Elena
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Tiropanis, Thanassis
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Tinati, Ramine
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Hall, Wendy
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May 2016
Phethean, Christopher
3917abf8-ac6f-46db-96da-f80d7d0c72b0
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Tinati, Ramine
f74a0556-6a04-40c5-8bcf-6f5235dbf687
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
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), .
(doi:10.1109/MIS.2016.54).
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.
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More information
Accepted/In Press date: 26 April 2016
e-pub ahead of print date: 25 May 2016
Published date: May 2016
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 396515
URI: http://eprints.soton.ac.uk/id/eprint/396515
ISSN: 1541-1672
PURE UUID: 59c0560c-0edb-482a-9b01-56888a71d10d
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Date deposited: 09 Jun 2016 07:48
Last modified: 16 Mar 2024 03:58
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Contributors
Author:
Christopher Phethean
Author:
Thanassis Tiropanis
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