精英微博吗?Twitter验证用户网络的特征

Indraneil Paul, Abhinav Khattar, P. Kumaraguru, Manish Gupta, Shaan Chopra
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引用次数: 20

摘要

社交网络和发布平台,如Twitter,支持验证的概念。经过验证的账户被认为符合整个平台的公共利益,并由平台本身单独进行认证。这些平台一再声称,核查不等于认可。然而,大量先前的研究表明,拥有一个经过验证的身份象征着平台受众眼中可信度的提高。因此,这样的地位在公众人物和有影响力的人中间是非常令人垂涎的。因此,我们试图描述Twitter上经过验证的用户网络的特征,并将结果与对整个Twitter网络执行的类似分析进行比较。我们提取了Twitter上经过验证的用户的整个网络(截至2018年7月),获得了231246个英文用户资料和79213811个连接。随后,在网络分析中,我们发现验证用户的子图在某些方面反映了完整的Twitter用户图,例如具有较短的直径。然而,我们的研究结果在多个方面与早期的研究结果形成对比,例如拥有幂律外度分布,轻微的无序性,以及显着更高的互惠率,如文中所述。此外,我们试图衡量这个子图中显著成分的存在,并检测受欢迎程度的同质性缺失,这再次与完整的Twitter图形成鲜明对比。最后,我们在验证用户活动水平的时间序列中证明了平稳性。据我们所知,这项工作代表了对Twitter上经过验证的用户进行定性的第一次定量尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elites Tweet? Characterizing the Twitter Verified User Network
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.
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