Understanding the Diffusion of YouTube Videos
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-29228-1_26
Reference13 articles.
1. Ahmed, M., Spagna, S., Huici, F., Niccolini, S.: A peek into the future: predicting the evolution of popularity in user generated content. In: Proceedings of the sixth ACM international conference on Web search and data mining, pp. 607–616. ACM (2013)
2. Altman, E., De Pellegrini, F., El Azouzi, R., Miorandi, D., Jiménez, T.: Emergence of equilibria from individual strategies in online content diffusion. In: Proceedings of IEEE INFOCOM NetSciCOmm. Turin, Italy (2013)
3. Cha, M., Kwak, H., Rodriguez, P., Ahn, Y.Y., Moon, S.: I tube, you tube, everybody tubes: analyzing the world’s largest user generated content video system. In: Proceedings of ACM SIGCOMM IMC, pp. 1–14. ACM, New York, NY, USA (2007)
4. Cha, M., Kwak, H., Rodriguez, P., Ahn, Y.Y., Moon, S.: Analyzing the video popularity characteristics of large-scale user generated content systems. IEEE/ACM Trans. Networking 17(5), 1357–1370 (2009)
5. Chatzopoulou, G., Sheng, C., Faloutsos, M.: A first step towards understanding popularity in YouTube. In: Proceedings of IEEE INFOCOM, pp. 1–6. San Diego (2010)
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