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Big Bibliographic Data Analytics by Random Walk Model.
- Source :
- Mobile Networks & Applications; Aug2015, Vol. 20 Issue 4, p533-537, 5p
- Publication Year :
- 2015
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1383469X
- Volume :
- 20
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Mobile Networks & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 108998091
- Full Text :
- https://doi.org/10.1007/s11036-014-0555-2