Abstract
Identifying the rising stars is an important but difficult human resource exercise in all organizations. Rising stars are those who currently have relatively low profiles but may eventually emerge as prominent contributors to the organizations. In this paper, we propose a novel PubRank algorithm to identify rising stars in research communities by mining the social networks of researchers in terms of their co-authorship relationships. Experimental results show that PubRank algorithm can be used to effectively mine the bibliography networks to search for rising stars in the research communities.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Newman, M.E.J.: Detecting community structure in networks. European Physical Journal B 38, 321–330 (2004)
Palla, G., Derenyi, I., Farkas, I., Vicsek, T.: Uncovering the overlapping community structure of complex networks in nature and society. Nature 435, 814–818 (2005)
Backstrom, L., Huttenlocher, D., Kleinberg, J., Lan, X.: Group Formation in Large Social Networks: Membership, Growth, and Evolution. In: Proceedings of Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2006)
Long, P.M., Lee, T.K., Jaffar, J.: Benchmarking Research Performance in Department of Computer Science, School of Computing, National University of Singapore (1999), http://www.comp.nus.edu.sg/~tankl/bench.html
Brin, S., Page, L.: The anatomy of a large-scale hypertextual Web search engine. In: Proceedings of international conference on World Wide Web, pp. 107–117 (1999)
Hirsch, J.E.: An index to quantify an individual’s scientific research output. In: PNAS (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, XL., Foo, C.S., Tew, K.L., Ng, SK. (2009). Searching for Rising Stars in Bibliography Networks. In: Zhou, X., Yokota, H., Deng, K., Liu, Q. (eds) Database Systems for Advanced Applications. DASFAA 2009. Lecture Notes in Computer Science, vol 5463. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00887-0_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-00887-0_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00886-3
Online ISBN: 978-3-642-00887-0
eBook Packages: Computer ScienceComputer Science (R0)