Abstract: This paper proposes a novel community detection method that integrates the Louvain algorithm with Graph Neural Networks (GNNs), enabling the discovery of communities without prior knowledge.

Abstract: Louvain algorithm is a well-known and efficient method for detecting communities or clusters in social and information networks (graphs). The emergence of large network data necessitates ...

We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in online social ...

Meta announced on Tuesday a new Facebook algorithm update that will showcase more Reels videos tailored to users’ preferences. The update includes features that offer users greater control over the ...

An impending ban on TikTok was averted Monday after officials from both countries reached a “framework” of a deal that would allow the popular social media app to continue operating in the U.S. Trump, ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...

Python bindings for the DF-Louvain algorithm, a "Fast Incrementally Expanding Approach for Community Detection on Dynamic Graphs," originally implemented in C++ with OpenMP. This package allows Python ...

Add a description, image, and links to the louvain-community-detection topic page so that developers can more easily learn about it.