The Louvain community detection is performed for the same graph with shuffled node sequence and the community structure with the highest modularity score is returned. The igraph.community_multilevel ...

Abstract: In most real-world networks, the nodes ... the Louvain method continues to be one of the most widely used tools for serial community detection. In this paper, we present the design of a ...

The traditional Louvain algorithm is a fast community detection algorithm with reliable results. The scale of complex networks is expanding larger all the time, and the efficiency of the Louvain ...

This Python script implements the Louvain community detection ... and lists the nodes belonging to that community. Additionally, the modularity of the partition is calculated and appended to the ...

Modularity-based methods optimize modularity by moving nodes ... are the Louvain algorithm, the Infomap algorithm, and the Girvan-Newman algorithm. Another approach to community detection is ...

The past decade has been marked with a proliferation of community detection algorithms that aim ... methods require setting negative correlations between nodes to zero, whereas Louvain GJA utilizes ...