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The role of data science in web science

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

1541-1672
120-107
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
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), 120-107. (doi:10.1109/MIS.2016.54).

Record type: Article

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

Identifiers

Local EPrints ID: 396515
URI: https://eprints.soton.ac.uk/id/eprint/396515
ISSN: 1541-1672
PURE UUID: 59c0560c-0edb-482a-9b01-56888a71d10d
ORCID for Elena Simperl: ORCID iD orcid.org/0000-0003-1722-947X
ORCID for Thanassis Tiropanis: ORCID iD orcid.org/0000-0002-6195-2852
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811

Catalogue record

Date deposited: 09 Jun 2016 07:48
Last modified: 06 Jun 2018 13:20

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