What are community detection algorithms?
Community detection algorithms are techniques used to identify groups or clusters within a network where nodes are more densely connected to each other than to the rest of the network.
Can you give me some examples of these algorithms?
Sure! Some popular community detection algorithms include the Louvain method, Girvan-Newman algorithm, and Label Propagation.
How do these algorithms differ from each other?
They differ in their approach: the Louvain method optimizes modularity, Girvan-Newman uses edge betweenness, and Label Propagation relies on node labels to form communities.
What are the applications of community detection?
Applications include social network analysis, biological network analysis, and recommendation systems, among others.
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