A disciplinary analysis of Internet Science
A disciplinary analysis of Internet Science
Internet Science is an interdisciplinary field. Motivated by the unforeseen scale and impact of the Internet, it addresses Internet-related research questions in a holistic manner, incorporating epistemologies from a broad set of disciplines. Nonetheless, there is little empirical evidence of the levels of disciplinary representation within this field.
This paper describes an analysis of the presence of different disciplines in Internet Science based on techniques from Natural Language Processing and network analysis. Key terms from Internet Science are identified, as are nine application contexts. The results are compared with a disciplinary analysis of Web Science, showing a surprisingly low amount of overlap between these two related fields. A practical use of the results within Internet Science is described. Finally, next steps are presented that will consolidate the analysis regarding representation of less technologically-oriented disciplines within Internet Science.
internet science, disciplinary analysis, interdisciplinarity, bibliometrics, natural language, processing
63-77
Hooper, Clare J.
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Neves, Bruna
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Bordea, Georgeta
adf1fcd7-d62d-40e1-80f6-12c7d3eebe05
27 May 2015
Hooper, Clare J.
e880d249-17ac-4c4d-998e-d2bef13f89f2
Neves, Bruna
9aaa5edc-b536-4ee9-b1fd-4a1eb7978162
Bordea, Georgeta
adf1fcd7-d62d-40e1-80f6-12c7d3eebe05
Hooper, Clare J., Neves, Bruna and Bordea, Georgeta
(2015)
A disciplinary analysis of Internet Science.
Lecture Notes in Computer Science, .
(doi:10.1007/978-3-319-18609-2_5).
Abstract
Internet Science is an interdisciplinary field. Motivated by the unforeseen scale and impact of the Internet, it addresses Internet-related research questions in a holistic manner, incorporating epistemologies from a broad set of disciplines. Nonetheless, there is little empirical evidence of the levels of disciplinary representation within this field.
This paper describes an analysis of the presence of different disciplines in Internet Science based on techniques from Natural Language Processing and network analysis. Key terms from Internet Science are identified, as are nine application contexts. The results are compared with a disciplinary analysis of Web Science, showing a surprisingly low amount of overlap between these two related fields. A practical use of the results within Internet Science is described. Finally, next steps are presented that will consolidate the analysis regarding representation of less technologically-oriented disciplines within Internet Science.
More information
Published date: 27 May 2015
Additional Information:
ISBN 978-3-319-18608-5 (print); ISBN 978-3-319-18609-2 (electronic)
Keywords:
internet science, disciplinary analysis, interdisciplinarity, bibliometrics, natural language, processing
Organisations:
IT Innovation
Identifiers
Local EPrints ID: 379509
URI: http://eprints.soton.ac.uk/id/eprint/379509
ISSN: 0302-9743
PURE UUID: 1973489c-9d54-4ec7-8d6e-fdbcda91ddda
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Date deposited: 31 Jul 2015 14:32
Last modified: 14 Mar 2024 20:42
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Contributors
Author:
Clare J. Hooper
Author:
Bruna Neves
Author:
Georgeta Bordea
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