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Mayr, P.; Tosques, F.: Webometrische Analysen mit Hilfe der Google Web APIs (2005)
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- Source
- Information - Wissenschaft und Praxis. 56(2005) H.1, S.41-48
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Mayr, P.; Umstätter, W.: ¬Eine bibliometrische Zeitschriftenanalyse mit Jol Scientrometrics und NfD bzw. IWP (2008)
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- Source
- Information - Wissenschaft und Praxis. 59(2008) H.6/7, S.353-360
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Mayr, P.: Bradfordizing als Re-Ranking-Ansatz in Literaturinformationssystemen (2011)
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- Source
- Information - Wissenschaft und Praxis. 62(2011) H.1, S.3-10
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Mayr, P.: Bradfordizing mit Katalogdaten : Alternative Sicht auf Suchergebnisse und Publikationsquellen durch Re-Ranking (2010)
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- Source
- BuB. 62(2010) H.1, S.61-63
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Mayr, P.: Information Retrieval-Mehrwertdienste für Digitale Bibliotheken: : Crosskonkordanzen und Bradfordizing (2010)
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- Footnote
- Rez. in: iwp 62(2011) H.6/7, S. 323-324 (D. Lewandowski)
-
Mayr, P.; Scharnhorst, A.: Scientometrics and information retrieval - weak-links revitalized (2015)
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Mutschke, P.; Mayr, P.: Science models for search : a study on combining scholarly information retrieval and scientometrics (2015)
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Momeni, F.; Mayr, P.: Analyzing the research output presented at European Networked Knowledge Organization Systems workshops (2000-2015) (2016)
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- Abstract
- In this paper we analyze a major part of the research output of the Networked Knowledge Organization Systems (NKOS) community in the period 2000 to 2015 from a network analytical perspective. We fo- cus on the paper output presented at the European NKOS workshops in the last 15 years. Our open dataset, the "NKOS bibliography", includes 14 workshop agendas (ECDL 2000-2010, TPDL 2011-2015) and 4 special issues on NKOS (2001, 2004, 2006 and 2015) which cover 171 papers with 218 distinct authors in total. A focus of the analysis is the visualization of co-authorship networks in this interdisciplinary eld. We used standard network analytic measures like degree and betweenness centrality to de- scribe the co-authorship distribution in our NKOS dataset. We can see in our dataset that 15% (with degree=0) of authors had no co-authorship with others and 53% of them had a maximum of 3 cooperations with other authors. 32% had at least 4 co-authors for all of their papers. The NKOS co-author network in the "NKOS bibliography" is a typical co- authorship network with one relatively large component, many smaller components and many isolated co-authorships or triples.
- Type
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