From popularity prediction to ranking online news

Author:

Tatar Alexandru,Antoniadis Panayotis,Amorim Marcelo Dias de,Fdida Serge

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Reference38 articles.

1. Adamic LA, Glance N (2005) The political blogosphere and the 2004 us election: divided they blog. In: Proceedings of the 3rd international workshop on Link discovery. ACM, New York, pp 36–43

2. Bandari R, Asur S, Huberman B (2012) The pulse of news in social media: forecasting popularity. Arxiv preprint arXiv:12020332

3. Breslau L, Cao P, Fan L, Phillips G, Shenker S (1999) Web caching and zipf-like distributions: evidence and implications. In: INFOCOM’99. eighteenth annual joint conference of the IEEE computer and communications societies. Proceedings. IEEE, IEEE, vol 1, pp 126–134

4. Cha M, Kwak H, Rodriguez P, Ahn Y, Moon S (2007) I tube, you tube, everybody tubes: analyzing the world’s largest user generated content video system. In: Proceedings of the 7th ACM SIGCOMM conference on Internet measurement. ACM, New York, pp 1–14

5. Cha M, Mislove A, Gummadi KP (2009) A measurement-driven analysis of information propagation in the flickr social network. In: Proceedings of the 18th international conference on World wide web. ACM, New York, pp 721–730

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