SherylHYX/DIGRAC_Directed_Clustering

Official code for the LoG2022 paper -- DIGRAC: Digraph Clustering Based on Flow Imbalance.

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Experimental

This project helps researchers and data scientists understand the underlying communities or groupings within complex networks where connections have a specific direction, like citation networks or social influence graphs. It takes as input a directed graph (a network with directional links) and outputs identified clusters of nodes. This is useful for anyone analyzing relationships and structures in systems with one-way interactions.

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Use this if you need to find inherent clusters in networks where the direction of connections is crucial and cannot be ignored.

Not ideal if your network consists only of undirected relationships, or if you are looking for simple node classification rather than structural clustering.

network-analysis graph-clustering social-network-analysis citation-analysis data-science-research
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Language

C++

License

MIT

Last pushed

Feb 01, 2023

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