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Recurrent Patterns of User Behavior in Different Electoral Campaigns: A Twitter Analysis of the Spanish General Elections of 2015 and 2016

机译:不同选举活动中的用户行为的经常性模式:2015年和2016年西班牙大选的推特分析

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摘要

We have retrieved and analyzed several millions of Twitter messages corresponding to the Spanish general elections held on the 20th of December 2015 and repeated on the 26th of June 2016. The availability of data from two electoral campaigns that are very close in time allows us to compare collective behaviors of two analogous social systems with a similar context. By computing and analyzing the time series of daily activity, we have found a significant linear correlation between both elections. Additionally, we have revealed that the daily number of tweets, retweets, and mentions follow a power law with respect to the number of unique users that take part in the conversation. Furthermore, we have verified that the topologies of the networks of mentions and retweets do not change from one election to the other, indicating that their underlying dynamics are robust in the face of a change in social context. Hence, in the light of our results, there are several recurrent collective behavioral patterns that exhibit similar and consistent properties in different electoral campaigns.
机译:我们检索并分析了与2015年12月20日举行的西班牙语大选,并于2016年6月26日举行的若干百万次推特信息。来自两次选举活动的数据,这是一个非常接近的选举活动,允许我们比较具有类似背景的两个类似社会系统的集体行为。通过计算和分析日常活动的时间序列,我们发现两个选举之间的显着线性相关性。此外,我们还发现,每天数鸣叫,锐推的,并提到遵循幂律相对于该参加对话部分的独立用户数。此外,我们已经验证了提到的网络和转发网络的拓扑并不会从一个选举改变到另一个选举,表明他们的底层动态在面对社会环境的变化面前是强大的。因此,鉴于我们的结果,存在几种经常性的集体行为模式,其在不同的选举活动中表现出类似和一致的性质。

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