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Predicting user influence in microblogs

机译:预测用户对微博的影响

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摘要

User influence can be described as power - the ability of a person to influence the thoughts or actions of others. In this paper, we investigate the attributes of 244,175 users and the content of their messages, and they are from Sina Weibo which is one of the most notable micro-blogging services. Our first insight is to quantify the influence of individuals within a period of time by using a novel approach. Our second insight is to predict the influence of every user with higher precision. Our third insight is to find the influence of most users changing over time but changing slightly as a whole. In this paper, we include findings from our study.
机译:用户影响可以被描述为权力 - 人们影响他人的思想或行为的能力。在本文中,我们调查了244,175个用户的属性和消息的内容,以及来自新浪微博,这是最值得注意的微博的服务之一。我们的第一次见解是通过使用一种新方法量化各个时间内的个人的影响。我们的第二次洞察力是预测每个用户的影响更高的精度。我们的第三次洞察力是找到大多数用户随着时间的推移而变化的影响,但整个整体变化。在本文中,我们包括我们研究的结果。

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