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Erschienen in: Mobile Networks and Applications 4/2015

01.08.2015

Big Bibliographic Data Analytics by Random Walk Model

verfasst von: Jason J. Jung

Erschienen in: Mobile Networks and Applications | Ausgabe 4/2015

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Abstract

In this paper we use the DBLP data to investigate the co-author relationship in a real bibliographic network and predict the interactions between co-authors. We analysis the research trend of authors and conferences based on keywords extracted from paper titles. We can understand research fields and change of research trend to find appropriate co-authors and conferences to submit our work. We also find potential co-authors for an existing author in DBLP data by using a variety of similarity measures and a random walk model. It can be useful for building a recommendation system.

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Metadaten
Titel
Big Bibliographic Data Analytics by Random Walk Model
verfasst von
Jason J. Jung
Publikationsdatum
01.08.2015
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 4/2015
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-014-0555-2

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