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SIAM Journal on Computing
Article . 2004 . Peer-reviewed
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$(1 + \epsilon,\beta)$-Spanner Constructions for General Graphs

\((1+\varepsilon,\beta)\)-spanner constructions for general graphs
Authors: Elkin, Michael; Peleg, David;

$(1 + \epsilon,\beta)$-Spanner Constructions for General Graphs

Abstract

Summary: An \((\alpha,\beta)\)-spanner of a graph \(G\) is a subgraph \(H\) such that \(\text{dist}_H(u,w)\leq \alpha\cdot \text{distt}_G(u,w)+\beta\) for every pair of vertices \(u,w\), where dist\(_{G'}(u,w)\) denotes the distance between two vertices \(u\) and \(w\) in \(G'\). It is known that every graph \(G\) has a polynomially constructible \((2\kappa-1,0)\)-spanner (also known as multiplicative \((2\kappa-1)\)-spanner) of size \(O(n^{1+1/\kappa})\) for every integer \(\kappa\geq 1\), and a polynomially constructible \((1,2)\)-spanner (also known as additive 2-spanner) of size \({\widetilde O}(n^{3/2})\). This paper explores hybrid spanner constructions (involving both multiplicative and additive factors) for general graphs and shows that the multiplicative factor can be made arbitrarily close to 1 while keeping the spanner size arbitrarily close to \(O(n)\), at the cost of allowing the additive term to be a sufficiently large constant. More formally, we show that for any constants \(\varepsilon, \lambda > 0\) there exists a constant \(\beta = \beta(\varepsilon, \lambda)\) such that for every \(n\)-vertex graph \(G\) there is an efficiently constructible \((1+ \varepsilon, \beta)\)-spanner of size \(O(n^{1 + \lambda})\).

Keywords

graph algorithms, spanners, Distance in graphs, Graph algorithms (graph-theoretic aspects), Graph theory (including graph drawing) in computer science, graph partitions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
83
Top 10%
Top 10%
Top 10%
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