The University of Southampton
University of Southampton Institutional Repository

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

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

PDF x3webscience-ed_CPchanges_forEprints.doc.pdf - Accepted Manuscript
Download (347kB)

More information

Accepted/In Press date: 26 April 2016
Published date: 25 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
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: 02 Oct 2017 13:20

Export record

Contributors

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

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×