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Therefore, this paper proposes a dynamic community detection algorithm based on topic division (DOCTS), which uses node attribute features to make topics, combines the network structures of adjacent ...

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 ...

Keywords: community detection, network neuroscience, modularity, electroencephalography, statistical analysis. Citation: Puxeddu MG, Petti M and Astolfi L (2021) A Comprehensive Analysis of Multilayer ...

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

Therefore, this paper proposes a dynamic community detection algorithm based on topic division (DOCTS), which uses node attribute features to make topics, combines the network structures of adjacent ...