Discovering Co-author Relationship in Bibliographic Data Using Similarity Measures and Random Walk Model
Title: Discovering Co-author Relationship in Bibliographic Data Using Similarity Measures and Random Walk Model |
Author: Ngoc Tu Luong; Tuong Tri Nguyen; Jason J.Jung; Dosam Hwang |
Abstract: Discovering the research communities to bring techniques to the world is an interesting topic. 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 extracted keywords 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 measure and a random walk model. It can be useful for building a recommendation system. |
Keywords: DBLP; Co-author; Similarity; Random walk; Bibliographic |
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Download: Intelligent Information and Database Systems |