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BuzzRank ... and the Trend is Your Friend

MPS-Authors
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Berberich,  Klaus
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons44104

Bedathur,  Srikanta J.
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons45660

Vazirgiannis,  Michalis
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons45720

Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Berberich, K., Bedathur, S. J., Vazirgiannis, M., & Weikum, G. (2006). BuzzRank.. and the Trend is Your Friend. In Proceedings of the 15th International World Wide Web Conference (WWW 2006) (pp. 937-938). New York, USA: ACM.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-224B-3
Abstract
Ranking methods like PageRank assess the importance of Web pages based on the current state of the rapidly evolving Web graph. The dynamics of the resulting importance scores, however, have not been considered yet, although they provide the key to an understanding of the Zeitgeist on the Web. This paper proposes the BuzzRank method that quantifies trends in time series of importance scores and is based on a relevant growth model of importance scores. We experimentally demonstrate the usefulness of BuzzRank on a bibliographic dataset.