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
Corresponding Author:
Download:
Intelligent Information and Database Systems