Interactivity is a defining characteristic of social media. Connections among users shape the network and have a direct impact on the political conversations that take place on digital platforms. In the hybrid media system, digital discussions can have an impact on both the agenda of mainstream media and the offline political life. In this context, determining who and how social influence is exercised is crucial. My objective is to identify the influencers with the greatest digital authority to guide and determine the political conversation on Twitter. For this, I have studied the process to form a Government in Spain. Machine learning techniques are used on a big data sample of 127.3 million tweets. The analysis is based on social network analysis and uses eigencentrality, a measure that determines the digital authority of users. This study focuses on the 250 accounts of the most prominent influencers. The results show that the political and media elites extend their leading roles as influencers in the digital environment. However, there is also evidence of the beginning of the breakdown of its monopoly on digital public debate and its opening to new social actors. Additionally, the data demonstrate the importance of the external socio-political context as a determining element of the exercise of social influence in the political conversation on Twitter.

中文翻译：

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Twitter上政治对话中的影响者：通过大数据识别数字权威

交互性是社交媒体的定义特征。用户之间的联系塑造了网络，并直接影响了数字平台上发生的政治对话。在混合媒体系统中，数字讨论可以对主流媒体的议程和离线政治生活都产生影响。在这种情况下，确定谁以及如何发挥社会影响力至关重要。我的目标是确定具有最大数字权限的影响者，以指导和确定Twitter上的政治对话。为此，我研究了在西班牙组建政府的程序。在1.273亿条推文的大数据样本上使用了机器学习技术。该分析基于社交网络分析，并使用本征集中度（egengencentrality），一种确定用户的数字权限的度量。这项研究的重点是250个最有影响力的人物。结果表明，政治和媒体精英在数字环境中扩展了其作为影响者的领导作用。但是，也有证据表明，其对数字公共辩论的垄断开始瓦解，并开始向新的社会参与者开放。此外，数据证明了外部社会政治环境作为推特上政治对话中行使社会影响力的决定性因素的重要性。