The Louvain Method is a popular algorithm used in the field of community detection. It was developed by Blondel et al
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The Louvain Method is a popular algorithm used in the field of community detection. It was developed by Blondel et al. At the University in Belgium and has since become one of the most widely used algorithms for detecting communities within networks. The method works by first constructing a network from a given set of data, then using an optimization procedure to identify clusters or communities within that network. This is done by optimizing a modularity score, which measures how well-connected each node is to its own cluster compared to other clusters in the network. The algorithm has been applied to many different types of networks, including social networks, biological networks, and computer networks and has also been used for tasks such as recommendation systems and link prediction. The Louvain Method provides an efficient way to detect communities within large complex networks and continues to be an important tool for researchers in this field today.