Big Bibliographic Data Analytics by Random Walk Model

作者: Jason J. Jung

DOI: 10.1007/S11036-014-0555-2

关键词:

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

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