Application of semantic technology for social network analysis in the sciences

Peter Mika; Tom Elfring; Peter Groenewegen

doi:10.1007/s11192-006-0081-5

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Scientometrics

Volume/Issue:: Volume 68: Issue 1

Application of semantic technology for social network analysis in the sciences

Authors:

Peter Mika

Peter Mika Department of Computer Science, Vrije Universiteit Amsterdam (VUA) De Boelelaan 1081, 1081HV Amsterdam, The Netherlands De Boelelaan 1081, 1081HV Amsterdam, The Netherlands

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Tom Elfring

Tom Elfring Department of Public Administration and Organization Science, Vrije Universiteit Amsterdam (VUA) Amsterdam (The Netherlands) Amsterdam (The Netherlands)

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Peter Groenewegen

Peter Groenewegen Department of Public Administration and Organization Science, Vrije Universiteit Amsterdam (VUA) Amsterdam (The Netherlands) Amsterdam (The Netherlands)

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Pages:: 3–27

Online Publication Date:: 26 Jul 2006

Publication Date:: 26 Jul 2006

Article Category:: Research Article

DOI:: https://doi.org/10.1007/s11192-006-0081-5

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Summary

The use of electronic data is steadily gaining ground in the study of the social organization of scientific and research communities, decreasing the researcher's reliance on commercial databases of bibliographic entries, patents grants and other manually constructed records of scientific works. In our work we provide a methodological innovation based on semantic technology for dealing with heterogeneity in electronic data sources. We demonstrate the use of our electronic system for data collection and aggregation through a study of the Semantic Web research community. Using methods of network analysis, we confirm the effect of Structural Holes and provide novel explanations of scientific performance based on cognitive diversity in social networks.

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Scientometrics

Print ISSN:: 0138-9130

Online ISSN:: 1588-2861

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Scientometrics
Language	English
Size	B5
Year of Foundation	1978
Volumes per Year	1
Issues per Year	12
Founder	Akadémiai Kiadó
Founder's Address	H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher	Akadémiai Kiadó Springer Nature Switzerland AG
Publisher's Address	H-1117 Budapest, Hungary 1516 Budapest, PO Box 245. CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible Publisher	Chief Executive Officer, Akadémiai Kiadó
ISSN	0138-9130 (Print)
ISSN	1588-2861 (Online)