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Gab is an online social network often associated with the alt-right politicalmovement and users barred from other networks. It presents an interestingopportunity for research because near-complete data is available from day oneof the network's creation. In this paper, we investigate the evolution of theuser interaction graph, that is the graph where a link represents a userinteracting with another user at a given time. We view this graph both atdifferent times and at different timescales. The latter is achieved by usingsliding windows on the graph which gives a novel perspective on social networkdata. The Gab network is relatively slowly growing over the period of monthsbut subject to large bursts of arrivals over hours and days. We identifyplausible events that are of interest to the Gab community associated with themost obvious such bursts. The network is characterised by interactions between`strangers' rather than by reinforcing links between `friends'. Gab usagefollows the diurnal cycle of the predominantly US and Europe based users. Atoff-peak hours the Gab interaction network fragments into sub-networks withabsolutely no interaction between them. A small group of users are highlyinfluential across larger timescales, but a substantial number of users gaininfluence for short periods of time. Temporal analysis at different timescalesgives new insights above and beyond what could be found on static graphs.

Moving with the Times: Investigating the Alt-Right Network Gab with Temporal Interaction Graphs