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SPAA
2009
ACM

On randomized representations of graphs using short labels

15 years 3 hour ago
On randomized representations of graphs using short labels
Informative labeling schemes consist in labeling the nodes of graphs so that queries regarding any two nodes (e.g., are the two nodes adjacent?) can be answered by inspecting merely the labels of the corresponding nodes. Typically, the main goal of such schemes is to minimize the label size, that is, the maximum number of bits stored in a label. This concept was introduces by Kannan et al. [STOC'88] and was illustrated by giving very simple and elegant labeling schemes, for supporting adjacency and ancestry queries in n-node trees; both these schemes have label size 2 log n. Motivated by relations between such schemes and other important notions such as universal graphs, extensive research has been made by the community to further reduce the label sizes of such schemes as much as possible. The current state of the art adjacency labeling scheme for trees has label size log n + O(log n) by Alstrup and Rauhe [FOCS'02], and the best known ancestry scheme for (rooted) trees has l...
Pierre Fraigniaud, Amos Korman
Added 25 Nov 2009
Updated 25 Nov 2009
Type Conference
Year 2009
Where SPAA
Authors Pierre Fraigniaud, Amos Korman
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