TRIÈST: Counting Local and Global Triangles in Fully-dynamic Streams with Fixed Memory Size

24 Feb 2016Lorenzo De StefaniAlessandro EpastoMatteo RiondatoEli Upfal

We present TRI\`EST, a suite of one-pass streaming algorithms to compute unbiased, low-variance, high-quality approximations of the global and local (i.e., incident to each vertex) number of triangles in a fully-dynamic graph represented as an adversarial stream of edge insertions and deletions. Our algorithms use reservoir sampling and its variants to exploit the user-specified memory space at all times... (read more)

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