Does a post with specific emotional content that is posted on Twitter by an influential user have the capability to affect and even alter the opinions of those who read it? Accordingly, “influential” users affected by this post can then affect their followers so that eventually a large number of users may change their opinions about the subject the aforementioned post was made on? Social Influence can be described as the power or even the ability of a person to yet influence the thoughts and actions of other users. So, User Influence stands as a value that depends on the interest of the followers (via replies, mentions, retweets, favorites). Our study focuses on identifying such phenomena on the Twitter graph of posts and on determining which users’ posts can trigger them. Furthermore, we analyze the Influence Metrics of all users taking part in specific discussions and verify the differences among them. Finally the percentage of Graph cover when the diffusion starts from the “influential” users, is measured and corresponding results are extracted. Hence, results show that the proposed implementations and methodology can assist in identifying “influential” users, that play a dominant role in information diffusion.

中文翻译：

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考虑用户影响力的 Twitter 模糊信息扩散

有影响力的用户在 Twitter 上发布的带有特定情感内容的帖子是否能够影响甚至改变阅读者的观点？因此，受此帖子影响的“有影响力”用户可以影响他们的关注者，最终大量用户可能会改变他们对上述帖子主题的看法？社会影响力可以描述为一个人影响其他用户的思想和行为的力量甚至能力。因此，用户影响力是一种取决于追随者兴趣的价值（通过回复、提及、转发、收藏）。我们的研究重点是在 Twitter 帖子图上识别此类现象，并确定哪些用户的帖子可以触发它们。此外，我们分析所有参与具体讨论的用户的影响力指标，并验证他们之间的差异。最后，测量从“有影响力”用户开始扩散时的 Graph 覆盖百分比，并提取相应的结果。因此，结果表明，所提出的实施和方法可以帮助识别在信息传播中起主导作用的“有影响力的”用户。