Application of semantic technology for social network analysis in the sciences

P. Mika, T. Elfring, P. Groenewegen

    Research output: Contribution to JournalArticleAcademicpeer-review

    Abstract

    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. copyright © 2006 Akadémiai Kiadó, Budapest. All rights reserved.
    Original languageEnglish
    Pages (from-to)3-27
    Number of pages25
    JournalScientometrics
    Volume68
    Issue number1
    DOIs
    Publication statusPublished - 2006

    Fingerprint

    Dive into the research topics of 'Application of semantic technology for social network analysis in the sciences'. Together they form a unique fingerprint.

    Cite this