Estimating the number of communities by spectral methods
نویسندگان
چکیده
Community detection is a fundamental problem in network analysis with many methods available to estimate communities. Most of these assume that the number communities known, which often not case practice. We study simple and very fast method for estimating based on spectral properties certain graph operators, such as non-backtracking matrix Bethe Hessian matrix. show performs well under several models wide range parameters, guaranteed be consistent asymptotic regimes. compare this existing it both more accurate computationally efficient.
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Estimating the number of communities in a network
Community detection, the division of a network into dense subnetworks with only sparse connections between them, has been a topic of vigorous study in recent years. However, while there exist a range of effective methods for dividing a network into a specified number of communities, it is an open question how to determine exactly how many communities one should use. Here we describe a mathemati...
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ژورنال
عنوان ژورنال: Electronic Journal of Statistics
سال: 2022
ISSN: ['1935-7524']
DOI: https://doi.org/10.1214/21-ejs1971