What is community detection in networks?
Community detection is the process of identifying groups of nodes in a network that are more densely connected to each other than to the rest of the network.
Why is community detection important?
It's important because it helps in understanding the structure of networks, revealing insights about social groups, biological systems, and more.
What algorithms can I use for community detection?
You can use algorithms like Louvain, Girvan-Newman, or Label Propagation for effective community detection.
Can you give me an example of how to implement one of these algorithms?
Sure! For example, using the Louvain method in Python, you can use the python-louvain
library to detect communities in a graph.
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