ABSTRACT: Social network large-scale group decision-making (SN-LSGDM) has become an important research topic in the field of decision science. However, the current methods have some limitations: the ...

This paper presents the Assimilation Modified Emotional (AME) algorithm, which is an enhanced version of the traditional label propagation algorithm (LPA) designed to address key challenges in social ...

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

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 ...

This project builds a movie recommendation system using Neo4j and the OMDb API. It prepares a movie graph, computes similarity scores, and generates recommendations using Louvain and K-Means ...

In today’s digital landscape, JavaScript algorithms are essential tools for web developers aiming to create high-performing, user-friendly applications. While JavaScript was initially conceived for ...

Clusters or communities can provide a coarse-grained description of complex systems at multiple scales, but their detection remains challenging in practice. Community detection methods often define ...

JavaScript is the programming language that built the web. Most web applications run on JavaScript or frameworks built on top of it, from the near-universal JQuery library to the React.js/Node.js ...

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