与时俱进：用时间交互图调查另类右翼网络言论
Moving with the Times: Investigating the Alt-Right Network Gab with Temporal Interaction Graphs
摘要：
Gab是一个在线社交网络，经常与另类右翼政治运动和禁止其他网络的用户联系在一起。它为研究提供了一个有趣的机会，因为从网络创建的第一天起就可以获得近乎完整的数据。在本文中，我们调查的用户交互图的演变，这是一个链接表示在给定的时间与另一个用户的用户交互的图形。我们在不同的时间和不同的时间尺度上观察这个图表。后者是通过在图上使用滑动窗口来实现的，这为社交网络数据提供了一个新的视角。Gab网络在几个月的时间里增长相对缓慢，但在几小时和几天内会有大量的抵达者。我们确定合理的事件，是感兴趣的加布社区与最明显的这种突发。网络的特点是“陌生人”之间的互动，而不是加强“朋友”之间的联系。Gab的使用遵循主要基于美国和欧洲的用户的昼夜周期。在非高峰时段，Gab交互网络分裂成子网络，它们之间绝对没有交互。一小群用户在更长的时间尺度上具有高度影响力，但大量用户在短时间内获得影响力。不同时间尺度的时间分析提供了超越静态图的新见解。
英文摘要：
Gab is an online social network often associated with the alt-right political movement and users barred from other networks. It presents an interesting opportunity for research because near-complete data is available from day one of the network's creation. In this paper, we investigate the evolution of the user interaction graph, that is the graph where a link represents a user interacting with another user at a given time. We view this graph both at different times and at different timescales. The latter is achieved by using sliding windows on the graph which gives a novel perspective on social network data. The Gab network is relatively slowly growing over the period of months but subject to large bursts of arrivals over hours and days. We identify plausible events that are of interest to the Gab community associated with the most obvious such bursts. The network is characterised by interactions between `strangers' rather than by reinforcing links between `friends'. Gab usage follows the diurnal cycle of the predominantly US and Europe based users. At off-peak hours the Gab interaction network fragments into sub-networks with absolutely no interaction between them. A small group of users are highly influential across larger timescales, but a substantial number of users gain influence for short periods of time. Temporal analysis at different timescales gives new insights above and beyond what could be found on static graphs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
