以生物为灵感的模型来描述YouTube的浏览量

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) Pub Date : 2014-08-17 DOI:10.1109/ASONAM.2014.6921600

Cédric Richier, E. Altman, R. E. Azouzi, T. Jiménez, G. Linarès, Y. Portilla

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引用次数: 27

摘要

本文的目的是研究YouTube中观看次数的行为。我们首先提出了几个受生物启发的YouTube视频观看数演变模型。我们使用大量的经验数据表明，YouTube上90%的视频的观看次数确实可以与这些模型中的至少一个相关联，平均误差不超过5%。我们推导了将视计数曲线自动分类为这些模型之一的方法，并提取了模型中最合适的参数。实证研究了视频的受欢迎程度和类别对视频浏览量演变的影响。最后，我们使用上述分类和自动参数提取来预测视频观看数的演变。

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Bio-inspired models for characterizing YouTube viewcout

The goal of this paper is to study the behaviour of viewcount in YouTube. We first propose several bio-inspired models for the evolution of the viewcount of YouTube videos. We show, using a large set of empirical data, that the viewcount for 90% of videos in YouTube can indeed be associated to at least one of these models, with a Mean Error which does not exceed 5%. We derive automatic ways of classifying the viewcount curve into one of these models and of extracting the most suitable parameters of the model. We study empirically the impact of videos' popularity and category on the evolution of its viewcount. We finally use the above classification along with the automatic parameters extraction in order to predict the evolution of videos' viewcount.

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来源期刊

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)

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