Computer Science > Data Structures and Algorithms
[Submitted on 6 Mar 2008 (v1), last revised 18 Nov 2009 (this version, v4)]
Title:Graph Sparsification by Effective Resistances
View PDFAbstract: We present a nearly-linear time algorithm that produces high-quality sparsifiers of weighted graphs. Given as input a weighted graph $G=(V,E,w)$ and a parameter $\epsilon>0$, we produce a weighted subgraph $H=(V,\tilde{E},\tilde{w})$ of $G$ such that $|\tilde{E}|=O(n\log n/\epsilon^2)$ and for all vectors $x\in\R^V$ $(1-\epsilon)\sum_{uv\in E}(x(u)-x(v))^2w_{uv}\le \sum_{uv\in\tilde{E}}(x(u)-x(v))^2\tilde{w}_{uv} \le (1+\epsilon)\sum_{uv\in E}(x(u)-x(v))^2w_{uv}. (*)$
This improves upon the sparsifiers constructed by Spielman and Teng, which had $O(n\log^c n)$ edges for some large constant $c$, and upon those of Benczúr and Karger, which only satisfied (*) for $x\in\{0,1\}^V$.
A key ingredient in our algorithm is a subroutine of independent interest: a nearly-linear time algorithm that builds a data structure from which we can query the approximate effective resistance between any two vertices in a graph in $O(\log n)$ time.
Submission history
From: Daniel A. Spielman [view email][v1] Thu, 6 Mar 2008 18:03:06 UTC (12 KB)
[v2] Fri, 7 Mar 2008 23:10:59 UTC (12 KB)
[v3] Fri, 14 Mar 2008 19:49:32 UTC (12 KB)
[v4] Wed, 18 Nov 2009 07:22:03 UTC (14 KB)
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