Mining Research Communities in Bibliographical Data
- Osmar R. Zaiane, University of Alberta (Database)
- Jiyang Chen
- Randy Goebel
Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden information is implicit within relationships among entities in the data. Social networks are such data collections in which relationships play a vital role in the knowledge these networks can convey. A bibliographic database is an essential tool for the research community, yet finding and making use of relationships comprised within such a social network is difficult. In this paper we introduce DBconnect, a prototype that exploits the social network coded within the DBLP database by drawing on a new random walk approach to reveal interesting knowledge about the research community and even recommend collaborations.
Citation
O. Zaiane, J. Chen, R. Goebel. "Mining Research Communities in Bibliographical Data". Advances in Web Mining and Web Usage Analysis, Advances in Web Mining and Web Usage Analysis, Springer Verlag, (ed: Myra Spilopoulou, Haizheng Zhang), October 2008.| Keywords: | |
| Category: | In Book |
| Web Links: | Webdocs |
BibTeX
@inbook{Zaiane+al:08,
author = {Osmar R. Zaiane and Jiyang Chen and Randy Goebel},
title = {Mining Research Communities in Bibliographical Data},
Booktitle = {Advances in Web Mining and Web Usage Analysis},
Publisher = {Springer Verlag},
Editor = {Myra Spilopoulou, Haizheng Zhang},
year = 2008,
}Last Updated: February 05, 2020Submitted by Sabina P
