Efficient Eigen-updating for Spectral Graph Clustering

7 Jan 2013Charanpal DhanjalRomaric GaudelStéphan Clémençon

Partitioning a graph into groups of vertices such that those within each group are more densely connected than vertices assigned to different groups, known as graph clustering, is often used to gain insight into the organisation of large scale networks and for visualisation purposes. Whereas a large number of dedicated techniques have been recently proposed for static graphs, the design of on-line graph clustering methods tailored for evolving networks is a challenging problem, and much less documented in the literature... (read more)

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