Resolution Limit of Modern Community Detection Methods

Student: Bobrova Kseniia

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Applied Mathematics (Bachelor)

Year of Graduation: 2021

The work is devoted to the investigation of the resolution limit of modern community detection methods: the Louvain method, Infomap, and Node2Vec. The methods were tested on several artificial models. A comparative analysis of the performance of these algorithms was conducted. A theoretical estimation of the resolving power of the Louvain algorithm was obtained for a block-stochastic two-cluster model. The Louvain and Infomap methods were tested on two large real networks. The paper contains 46 pages, 13 illustrations, 2 tables, and 18 sources.

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