SherylHYX/DIGRAC_Directed_Clustering
Official code for the LoG2022 paper -- DIGRAC: Digraph Clustering Based on Flow Imbalance.
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.
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Language
C++
License
MIT
Category
Last pushed
Feb 01, 2023
Commits (30d)
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