Award Prediction with Temporal Citation Network Analysis

Zaihan Yang, Dawei Yin and Brian D. Davison

Poster (2 pages)
Official ACM published version:
Author's version: PDF (48KB)

Each year many ACM SIG communities will recognize an outstanding researcher through an award in honor of his or her profound impact and numerous research contributions. This work is the first to investigate an automated mechanism to help in selecting future award winners. We approach the problem as a researchers' expertise ranking problem, and propose a temporal probabilistic ranking model which combines content with citation network analysis. Experimental results based on real-world citation data and historical awardees indicate that some kinds of SIG awards are wellmodeled by this approach.

In Proceedings of the 34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1203-1204, Beijing, China, ACM Press, July 2011.

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Last modified: 26 July 2011
Brian D. Davison