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Forskningsfronten inom informationsvetenskap - BADA

Forskningsfronten inom informationsvetenskap - BADA

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Svensk titel: <strong>Forskningsfronten</strong> <strong>inom</strong> <strong>informationsvetenskap</strong> –<br />

en bibliometrisk analys<br />

Engelsk titel: The research front of information science – a bibliometric study<br />

Författare: Patrik Spendrup Thynell och Eva Westlin<br />

Kollegium: Kollegium 2<br />

Färdigställt: 2007<br />

Handledare: Per Ahlgren<br />

Abstract: The aim of this study is to analyze and describe the research front<br />

within information science. To reach this purpose we ask the<br />

following research question: Which research themes can be<br />

identified within the subject field of information science by using<br />

bibliographic coupling in combination with cluster analysis.<br />

The data for our study consists of articles from the journals<br />

Journal of the American Society for Information Science and<br />

Technology and Journal of Documentation throughout the years<br />

2004-2006. The bibliographic information from the articles was<br />

analyzed with the combined methods of bibliographic coupling<br />

and cluster analysis. This gave fifteen clusters within which we<br />

identified research themes. When analyzing these results we<br />

found four main fields of research within the research front of<br />

information science: Information retrieval, bibliometrics,<br />

knowledge organization and information science as research<br />

discipline. Information retrieval proved to be the largest field of<br />

research followed by bibliometrics and thereafter the two<br />

significantly smaller fields of research knowledge organization<br />

and information science as research discipline. When comparing<br />

our results with previous research we found that despite different<br />

choice of methods and data, there were some similarities.<br />

Nyckelord: Bibliometri, bibliografisk koppling, citeringsanalys,<br />

forskningsfront, <strong>informationsvetenskap</strong>, klusteranalys

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