How does Louvain method work?

The Louvain method is an algorithm to detect communities in large networks. It maximizes a modularity score for each community, where the modularity quantifies the quality of an assignment of nodes to communities.

Is Louvain deterministic?

Results on each network as a function of the value for k. Louvain is non-deterministic, and even after initialising it using PageRank, the results for any given configuration have high variability.

What is infomap algorithm?

Infomap algorithm tries to minimize a cost function. Partitioning is based on the flow induced by the pattern of connections in a given network [1]. Considering a sender pretends to communicate a random path inside a network to a receiver, the following is assumed: the size of this message is intended to be minimized.

What is community network detection?

Community detection, also called graph partition, helps us to reveal the hidden relations among the nodes in the network. Many algorithms have been developed to detect communities (Clauset et al., 2004; Girvan and Newman, 2002; Lancichinetti and Fortunato, 2009).

Is Louvain machine learning?

The research carried out by the UCLouvain Machine Learning Group (MLG) covers both fundamental and applied aspects of machine learning. Machine learning aims at mining large collection of data and at building models to predict future data.

What is the meaning of Louvain?

Louvain. / (French luvɛ̃) / noun. a town in central Belgium, in Flemish Brabant province: capital of the duchy of Brabant (11th–15th centuries) and centre of the cloth trade; university (1426).

How does Louvain modularity work?

About Louvain Modularity It maximizes a modularity score for each community, where the modularity quantifies the quality of an assignment of nodes to communities by evaluating how much more densely connected the nodes within a community are, compared to how connected they would be in a random network.

Which is the best community detection algorithm?

1. Louvain Community Detection. Louvain community detection algorithm was originally proposed in 2008 as a fast community unfolding method for large networks.

How is community detection different from clustering?

Often clustering and community detection are used interchangeably in the literature. Clustering mostly focuses on a single modality, e.g., using node attributes to group network objects, whereas community detection focuses on network structure as a function of connectivity involving social interaction.

How are the nodes partitioned in the Louvain algorithm?

The Louvain algorithm starts from a singleton partition in which each node is in its own community (a). The algorithm moves individual nodes from one community to another to find a partition (b). Based on this partition, an aggregate network is created (c).

Where does the name Louvain come from?

The name Louvain is primarily a gender-neutral name of English origin that means City In Belgium.