SocksCatch: Automatic detection and grouping of sockpuppets in social media

Experiments have been performed for the three phases using real data crawled from english Wikipedia. The results compare six machine learning algorithms for the detection phase and show that SocksCatch detects between 89% and 95% of the selected sockpuppets depending on the algorithms. We also compare five community detection algorithms for the grouping phase, and show that SocksCatch's grouped sockpuppets and the real sockpuppet's groups are similar between 80% and 88%, according to the cluster's comparison measures: normalized variation of information (NVI) and normalized mutual information (NMI).