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Using Social Network Analysis and Social Capital to Identify User Roles on Polarized Political Conversations on Twitter

机译:利用社会网络分析和社会资本来确定推特上的极化政治对话的角色

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In this article, we discuss the roles users play in political conversations on Twitter. Our case study is based on data collected in three dates during the former Brazilian president Lula’s corruption trial. We used a combination of social network analysis metrics and social capital to identify the users’ roles during polarized discussions that took place in each of the dates analyzed. Our research identified four roles, each associated with different aspects of social capital and social network metrics: activists, news clippers, opinion leaders, and information influencers. These roles are particularly useful to understand how users’ actions on political conversations may influence the structure of information flows.
机译:在本文中,我们讨论了用户在Twitter上的政治谈话中发挥的角色。我们的案例研究基于前巴西总统卢拉腐败审判期间三个日期收集的数据。我们使用社交网络分析指标和社会资本的组合来识别在分析每个日期的极化讨论中的用户角色。我们的研究确定了四个角色,每个角色都与社会资本和社会网络指标的不同方面相关:活动家,新闻剪报,意见领导者和信息影响者。这些角色对于了解用户对政治谈话的行为是特别有用的,可能影响信息流的结构。

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