SignedLouvain: Louvain for signed networks

TL;DR

SignedLouvain is a novel algorithm that adapts the Louvain method to effectively detect communities in signed networks by maximizing signed modularity, improving accuracy while maintaining efficiency.

Contribution

The paper introduces SignedLouvain, a new variant of Louvain tailored for signed networks, overcoming previous limitations and enhancing community detection accuracy.

Findings

Improved community detection accuracy in signed networks.

Maintains scalability and speed of the original Louvain method.

Demonstrates effectiveness on real-world datasets.

Abstract

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.