Co-author Network Analysis in DBLP: Classifying Personal Names

In this paper we describe how the co-author network, which is built from the bibliographic records, can be incorporated into the process of personal name language classification. The model is tested on the DBLP data set. The results show that the extension of the language classification process with...

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Bibliographic Details
Published inModelling, Computation and Optimization in Information Systems and Management Sciences Vol. 14; pp. 399 - 408
Main Author Biryukov, Maria
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesCommunications in Computer and Information Science
Subjects
bibliographic databases
co-author networks
language classification
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Summary:In this paper we describe how the co-author network, which is built from the bibliographic records, can be incorporated into the process of personal name language classification. The model is tested on the DBLP data set. The results show that the extension of the language classification process with the co-author network may help to refine the name language classification obtained from the author names considered independently. It may also lead to the discovery of dependencies between the elements of the co-author network, or participation of authors in scientific communities.
ISBN:9783540874768
3540874763
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-540-87477-5_43