Characterizing and modeling an electoral campaign in the context of Twitter: 2011 Spanish Presidential election as a case study

Characterizing and modeling an electoral campaign in the context of Twitter: 2011 Spanish Presidential election as a case study
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DOI:
10.1063/1.4729139
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发表时间:
2012-06-01
期刊:
影响因子:
2.9
通讯作者:
Benito, R. M.
Benito, R. M.
中科院分区:
数学2区
文献类型:
--
作者:
Borondo, J.;Morales, A. J.;Benito, R. M.

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被引文献

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在选举过程中,以尽可能有效的方式传递信息一直是政治家的主要关切之一。由于用户数量迅速增长,在线社交网络已成为政治家与潜在选民互动的理想平台。利用这些工具的可用潜力来最大限度地发挥其对选民的影响力是政治家面临的实际挑战之一。为了朝着这个方向迈进,我们分析了2011年西班牙总统选举过程中在线社交网络Twitter的用户活动,发现这种活动与选举结果相关。我们引入了一个新的措施来研究Twitter中的政治情绪,我们称之为相对支持度。我们还通过分析从提及和转发网络中涌现的复杂网络的结构和动力模式来表征用户行为。我们的研究结果表明,集体注意力是由一小部分用户驱动的。此外,我们分析了政治家之间的互动,观察到缺乏辩论。最后,我们开发了一个网络增长模型来再现政治家之间发生的互动。(C)2012年美国物理学会。[http://dx.doi.org/10.1063/1.4729139]
Transmitting messages in the most efficient way as possible has always been one of politicians' main concerns during electoral processes. Due to the rapidly growing number of users, online social networks have become ideal platforms for politicians to interact with their potential voters. Exploiting the available potential of these tools to maximize their influence over voters is one of politicians' actual challenges. To step in this direction, we have analyzed the user activity in the online social network Twitter, during the 2011 Spanish Presidential electoral process, and found that such activity is correlated with the election results. We introduce a new measure to study political sentiment in Twitter, which we call the relative support. We have also characterized user behavior by analyzing the structural and dynamical patterns of the complex networks emergent from the mention and retweet networks. Our results suggest that the collective attention is driven by a very small fraction of users. Furthermore, we have analyzed the interactions taking place among politicians, observing a lack of debate. Finally, we develop a network growth model to reproduce the interactions taking place among politicians. (C) 2012 American Institute of Physics. [http://dx.doi.org/10.1063/1.4729139]