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Elites Tweet? Characterizing the Twitter Verified User Network

机译:精英推文?表征Twitter已验证的用户网络

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Social network and publishing platforms, such as Twitter, support the concept of verification. Verified accounts are deemed worthy of platform-wide public interest and are separately authenticated by the platform itself. There have been repeated assertions by these platforms about verification not being tantamount to endorsement. However, a significant body of prior work suggests that possessing a verified status symbolizes enhanced credibility in the eyes of the platform audience. As a result, such a status is highly coveted among public figures and influencers. Hence, we attempt to characterize the network of verified users on Twitter and compare the results to similar analysis performed for the entire Twitter network. We extracted the entire network of verified users on Twitter (as of July 2018) and obtained 231,246 English user profiles and 79,213,811 connections. Subsequently, in the network analysis, we found that the sub-graph of verified users mirrors the full Twitter users graph in some aspects such as possessing a short diameter. However, our findings contrast with earlier findings on multiple aspects, such as the possession of a power law out-degree distribution, slight dissortativity, and a significantly higher reciprocity rate, as elucidated in the paper. Moreover, we attempt to gauge the presence of salient components within this sub-graph and detect the absence of homophily with respect to popularity, which again is in stark contrast to the full Twitter graph. Finally, we demonstrate stationarity in the time series of verified user activity levels. To the best of our knowledge, this work represents the first quantitative attempt at characterizing verified users on Twitter.
机译:社交网络和发布平台,如Twitter,支持验证的概念。已验证的帐户被视为有价值的平台广告,并通过平台本身进行单独认证。这些平台已经有关于验证的重复断言,并不妄为非。然而,有重要的事先工作表明,拥有经过验证的状态象征平台观众眼中的增强信誉。因此,公众人物和影响者之间的这种状态是高度垂涎的。因此,我们尝试在Twitter上表征验证用户的网络,并将结果与​​整个Twitter网络进行了类似的分析。我们在Twitter上提取了整个验证用户网络(截至2018年7月),并获得了231,246个英语用户配置文件和79,213,811个连接。随后,在网络分析中,我们发现已验证用户的子图在一些方面镜像诸如具有短直径的方面。然而,我们的研究结果与早期的调查结果对比多个方面,例如拥有权力律out度分布,轻微的脱离率和显着更高的互补率,如本文所阐明的。此外,我们试图衡量该子图中的突出成分的存在,并对普及的普及检测奇妙的不存在,这再次与完整的Twitter图形相比。最后,我们在经过验证的用户活动水平的时间序列中展示了实质性。据我们所知,这项工作代表了第一次在Twitter上表征验证用户的量化尝试。

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