A simple and efficient algorithm for modeling modular complex networks

Mateusz Kowalczyk, Piotr Fronczak and Agata Fronczak

Physica A: Statistical Mechanics and its Applications, 2017, vol. 482, issue C, 218-227

Abstract: In this paper we introduce a new algorithm to generate networks in which node degrees and community sizes can follow any arbitrary distribution. We compare the quality and efficiency of the proposed algorithm and the well-known algorithm by Lancichinetti et al. In contrast to the later one, the new algorithm, at the cost of accuracy, allows to generate two orders of magnitude larger networks in a reasonable time and it can be easily described analytically.

Keywords: Complex networks; Community structure; Algorithms (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:482:y:2017:i:c:p:218-227

DOI: 10.1016/j.physa.2017.04.111

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