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Real-Time Community Detection in Full Social Networks on a Laptop

Cite as:

Chamberlain, B.P. (Imperial College London) (): Real-Time Community Detection in Full Social Networks on a Laptop. DANS. https://doi.org/10.17026/dans-2bc-4qgc

2017-11-13 Chamberlain, B.P. (Imperial College London) 10.17026/dans-2bc-4qgc

The project analysed the performance of community detection algorithms on the Twitter social network operating on a graph compressed using minhash signatures. The data supplied gives minhash signatures of roughly 16,000 Twitter users who have been classified into 16 categories. It is described in https://arxiv.org/abs/1601.03958 and together with code at https://github.com/melifluos/LSH-community-detection allows the results within to be replicated.