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arxiv: 1702.08299 · v1 · pith:OUUPG3DPnew · submitted 2017-02-27 · 💻 cs.DS

Independent Set Size Approximation in Graph Streams

classification 💻 cs.DS
keywords betaboundindependentsizeedgesfactorgraphlower
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We study the problem of estimating the size of independent sets in a graph $G$ defined by a stream of edges. Our approach relies on the Caro-Wei bound, which expresses the desired quantity in terms of a sum over nodes of the reciprocal of their degrees, denoted by $\beta(G)$. Our results show that $\beta(G)$ can be approximated accurately, based on a provided lower bound on $\beta$. Stronger results are possible when the edges are promised to arrive grouped by an incident node. In this setting, we obtain a value that is at most a logarithmic factor below the true value of $\beta$ and no more than the true independent set size. To justify the form of this bound, we also show an $\Omega(n/\beta)$ lower bound on any algorithm that approximates $\beta$ up to a constant factor.

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