FLEET: Butterfly Estimation from a Bipartite Graph Stream

8 Dec 2018Seyed-Vahid Sanei-MehriYu ZhangAhmet Erdem SariyuceSrikanta Tirthapura

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... (read more)

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