签名鲁汶签约网络的鲁汶

John N. Pougué-Biyong, Renaud Lambiotte
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引用次数: 0

摘要

在本文中,我们考虑了签名网络中的社群检测问题。我们提出了签名卢万算法(SignedLouvain),它是对卢万算法的一种改进,旨在最大化签名模块化,有效利用签名关系所带来的结构优势。我们首先指出了将标准卢万算法应用于签名网络的固有局限性,然后介绍了专门为克服这些挑战而设计的新型变体。通过在真实世界数据集上的大量实验,我们证明了所提出的方法不仅保持了前者的速度和可扩展性,还显著提高了检测签名网络中社群的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SignedLouvain: Louvain for signed networks
In this article, we consider the problem of community detection in signed networks. We propose SignedLouvain, an adaptation of the Louvain method to maximise signed modularity, efficiently taking advantage of the structure induced by signed relations. We begin by identifying the inherent limitations of applying the standard Louvain algorithm to signed networks, before introducing a novel variant specifically engineered to overcome these challenges. Through extensive experiments on real-world datasets, we demonstrate that the proposed method not only maintains the speed and scalability of its predecessor but also significantly enhances accuracy in detecting communities within signed networks.
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