Discovering Co-author Relationship in Bibliographic Data Using Similarity Measures and Random Walk Model
- Authors
- Luong, Ngoc Tu; Nguyen, Tuong Tri; Jung, Jason J.; Hwang, Dosam
- Issue Date
- Mar-2015
- Publisher
- SPRINGER INTERNATIONAL PUBLISHING AG
- Keywords
- DBLP; Co-author; Similarity; Random walk; Bibliographic
- Citation
- INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT I, v.9011, pp 127 - 136
- Pages
- 10
- Journal Title
- INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT I
- Volume
- 9011
- Start Page
- 127
- End Page
- 136
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/48491
- DOI
- 10.1007/978-3-319-15702-3_13
- ISSN
- 0302-9743
1611-3349
- 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 measures and a random walk model. It can be useful for building a recommendation system.
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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