Skip to main content
Naomi A. Arnold, Benjamin Steer, Imane Hafnaoui, Hugo A. Parada G., Raul J. Mondragón, Félix Cuadrado and Richard G. Clegg
Proc ACM Conference on Computer-Supported Cooperative Work and Social Computing
Year
2021
Abstract
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.
Description
This paper describes the use of Raphtory to analyse the Gab social network. The Raphtory code allows simultaneous investigation of different timescales.
Preprint
bibtex
@InProceedings{arnold_gab_2021,
author = {Naomi A. Arnold and Benjamin Steer and Imane Hafnaoui and Hugo A. Parada G. and Raul J. Mondrag\'{o}n and F\'{e}lix Cuadrado and Richard G. Clegg},
title = {Moving with the Times: Investigating the Alt-Right Network Gab with Temporal Interaction Graphs},
booktitle = {Proc ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)},
year = {2021}
}
doi
https://doi.org/10.1145/3479591

Paper type