Computing exact P-values for community detection

• Zengyou He ^[1] ; Hao Liang ^[1] ; Zheng Chen ^[1] ; Can Zhao ; Yan Liu ^[1]
  1. [1] Dalian University of Technology

     Dalian University of Technology

     China

     
• Localización: Data mining and knowledge discovery, ISSN 1384-5810, Vol. 34, Nº 3, 2020, págs. 833-869
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • Community detection is one of the most important issues in modern network science. Although numerous community detection algorithms have been proposed during the past decades, how to assess the statistical significance of one single community analytically and exactly still remains an open problem. In this paper, we present an analytical solution to calculate the exact p-value of a single community with the Erdös–Rényi model. Meanwhile, we propose a local search method for finding statistically significant communities based on the p-value minimization. Experimental results on both real networks and simulated networks demonstrate that our method is able to effectively detect true communities from different types of networks.