FLEET: Butterfly Estimation from a Bipartite Graph Stream
Seyed-Vahid Sanei-Mehri,
Yu Zhang,
Ahmet Erdem Sariyuce
et al.
Abstract:We consider space-efficient single-pass estimation of the number of butterflies, a fundamental bipartite graph motif, from a massive bipartite graph stream where each edge represents a connection between entities in two different partitions. We present a space lower bound for any streaming algorithm that can estimate the number of butterflies accurately, as well as FLEET, a suite of algorithms for accurately estimating the number of butterflies in the graph stream. Estimates returned by the algorithms come wit… Show more
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