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Information Diffusion on Twitter: Everyone Has Its Chance, But All Chances Are Not Equal

机译:Twitter上的信息传播:每个人都有其机会,但所有机会都不尽相同

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Twitter is a Web 2.0 social network which attracted much attention recently for its usage as an alternative media for information diffusion. From the recent events in Arab countries, to natural disaster such as earthquakes or tsunamis, Twitter has proven to be a credible alternative to traditional means of information diffusion. Relatively few works have been done on this question of information diffusion, and in particular on the relative importance of different kind of users on this question. In this paper, we show that all users are not equal on the aspect of information diffusion. By investigating thoroughly the retweet chain lengths of users on a large dataset, we found that the number of followers of users plays an important role in their capacity to propagate information. From our observations we propose a very simple model, which is accurate enough to generate realistic length of retweet chains on the network. We consequently show, by studying a Twitter dataset centered on the Japanese Earthquake and Tsunami in March 2011, that such a crisis impact greatly the propagation of information. Finally, we use our results to discuss on the means of improving information diffusion to reach targeted users.
机译:Twitter是一个Web 2.0社交网络,最近由于它用作信息传播的替代媒体而备受关注。从阿拉伯国家最近发生的事件到地震或海啸等自然灾害,Twitter已被证明是传统信息传播手段的可靠替代品。在这个信息传播的问题上,尤其是在这种问题上,不同类型的用户的相对重要性方面的工作相对较少。在本文中,我们表明,在信息传播方面,所有用户都不平等。通过彻底调查大型数据集上用户的转发链长度,我们发现用户的关注者数量在其传播信息的能力中起着重要的作用。根据我们的观察,我们提出了一个非常简单的模型,该模型足够精确,可以在网络上生成实际长度的转发链。因此,我们通过研究以2011年3月日本地震和海啸为中心的Twitter数据集,表明这种危机极大地影响了信息的传播。最后,我们使用我们的结果来讨论改善信息传播以覆盖目标用户的方法。

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