Document (#37408)

Author
Heck, T.
Title
Analyse von sozialen Informationen für Autorenempfehlungen
Source
Information - Wissenschaft und Praxis. 63(2012) H.4, S.261-272
Year
2012
Abstract
Kollaborationen mit Kollegen sind für fast alle Wissenschaftler bedeutend. Forscher bauen sich im Laufe ihrer Karriere ein soziales Netzwerk mit Kontakten zu anderen Wissenschaftlern mit ähnlichen Interessen und Forschungsschwerpunkten auf. Ein Empfehlungssystem könnte einer Person dabei helfen, geeignete Kollegen und neue Kooperationspartner zu finden. Für einen Wissenschaftler ist seine Reputation sehr wichtig, die mit Zitations- und Referenzdaten analysiert werden kann. Solche Daten können dazu dienen, Cluster mit ähnlichen Forschern zu ermitteln, die wiederum für ein Empfehlungssystem verwendet werden können. Darüber hinaus enthalten neue Dienste des sozialen Webs, wie Social-Bookmarking-Systeme, weitere Informationen über Wissenschaftler, auf Basis derer Personenvorschläge gemacht werden können. Im Folgenden wird ein Versuch beschrieben, verschiedene soziale Informationen über Wissenschaftler zu nutzen, um diesen relevante Kooperationspartner vorzuschlagen.
Content
Vgl.: http://www.degruyter.com/view/j/iwp.2012.63.issue-4/iwp-2012-0048/iwp-2012-0048.xml?format=INT.
Theme
Social tagging

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