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Classification-Based Prediction on the Retweet Actions over Microblog Dataset

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Web Information Systems Engineering - WISE 2012 (WISE 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7651))

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Abstract

We present the ideas and methodologies that we used to address the WISE Challenge 2012 on predicting the retweet actions over microblog dataset. We employ classification and simulation mechanisms as our main technique, in which the original event dataset is classified into specific categories and then the similar curves are simulated to complete the task.

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References

  1. Tsur, O.: Ari Rappoport: What’s in a hashtag?: content based prediction of the spread of ideas in microblogging communities. In: Proc. of WSDM, Seattle, WA, USA, pp. 643–652 (2012)

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  2. Macropol, K., Singh, A.K.: Content-based Modeling and Prediction of Information Dissemination. In: Proc. of ASONAM, Kaohsiung, Taiwan, pp. 21–28 (2011)

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  3. Lichtenwalter, R., Lussier, J.T., Chawla, N.V.: New perspectives and methods in link prediction. In: Proc. of SIGKDD, Washington, DC, USA, pp. 243–252 (2010)

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhang, L., Zhang, Z., Jin, P. (2012). Classification-Based Prediction on the Retweet Actions over Microblog Dataset. In: Wang, X.S., Cruz, I., Delis, A., Huang, G. (eds) Web Information Systems Engineering - WISE 2012. WISE 2012. Lecture Notes in Computer Science, vol 7651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35063-4_64

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  • DOI: https://doi.org/10.1007/978-3-642-35063-4_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35062-7

  • Online ISBN: 978-3-642-35063-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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