Counting Butterfies from a Large Bipartite Graph Stream Sanei-Mehri, Seyed-Vahid Zhang, Yu Sariyuce, Ahmet Tirthapura, Srikanta Tirthapura, Srikanta
dc.contributor.department Computer Science
dc.contributor.department Electrical and Computer Engineering 2018-12-27T00:15:49.000 2020-06-30T02:02:47Z 2020-06-30T02:02:47Z Mon Jan 01 00:00:00 UTC 2018 2018-01-01
dc.description.abstract <p>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.</p>
dc.description.comments <p>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." <em>arXiv preprint arXiv:1812.03398 </em>(2018). Posted with permission.</p>
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dc.source.bitstream archive/|||Fri Jan 14 22:23:09 UTC 2022
dc.subject.disciplines Computer Sciences
dc.subject.disciplines Electrical and Computer Engineering
dc.title Counting Butterfies from a Large Bipartite Graph Stream
dc.type article
dc.type.genre article
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