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

As an example, topic modelling is chosen and topics from a number of documents in the 20 News groups dataset are extracted. NMF is applied to do the clustering and give the topics.A community ...

Community plays an important role in shaping a network. Quantitatively interpreting a community is necessary for graph generalization which is used for privacy preserving, summarization, and ...

Community detection in complex networks is an important task in network analysis. And community structures in networks can be detected from many aspects. However, community detection based on topic ...

Learn how to use topic modeling for text summarization, classification, or clustering. Discover the common algorithms and tools for finding topics in text data.

Learn how to use topic modeling for text summarization, classification, or clustering. Discover the common algorithms and tools for finding topics in text data.

Community detection plays a crucial role in unveiling the hidden modular structures within complex networks. As real-world systems—from social interactions and biological processes to ...

AlgSP achieved the best possible results out of five of the six datasets. The algorithm also proved to be among the fastest in community detection. The research has the potential to greatly enhance ...