X is revamping the algorithm that ranks posts in the "For You" feed. The engineering team said it will post changes to the algorithm on GitHub every four weeks, including explainers on changes. The ...

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 ...

For the first time, Instagram will start letting you control the topics its algorithm recommends, much as you now can on TikTok. The new feature is starting with the Reels tab but will eventually come ...

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 ...

We are a group of students working on graph algorithms, and we would like to contribute by implementing the Louvain community detection algorithm in JGraphT for detecting communities in large networks ...

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 ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

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 ...

Abstract: In this paper we present and evaluate a parallel community detection algorithm derived from the state-of-the-art Louvain modularity maximization method. Our algorithm adopts a novel graph ...