Campus Units

Electrical and Computer Engineering, Computer Science

Document Type

Article

Publication Version

Submitted Manuscript

Publication Date

2018

Journal or Book Title

arXiv

Abstract

We consider the estimation of properties on massive bipartite graph streams, where each edge represents a connection between entities in two different partitions. We present sublinear-space one-pass algorithms for accurately estimating the number of butterflies in the graph stream. Our estimates have provable guarantees on their quality, and experiments show promising tradeoffs between space and accuracy. We also present extensions to sliding windows. While there are many works on counting subgraphs within unipartite graph streams, our work seems to be one of the few to effectively handle bipartite graph streams.

Comments

This is a pre-print of the article Sanei-Mehri, Seyed-Vahid, Yu Zhang, Ahmet Erdem Sariyuce, and Srikanta Tirthapura. "Counting Butterfies from a Large Bipartite Graph Stream." arXiv preprint arXiv:1812.03398 (2018). Posted with permission.

Copyright Owner

SIAM

Language

en

File Format

application/pdf

Published Version

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