Near optimal adjacency labeling schemes for power-law graphs

Casper Petersen, Noy Galil Rotbart, Jakob Grue Simonsen, Christian Wulff-Nilsen

3 Citations (Scopus)
40 Downloads (Pure)

Abstract

An adjacency labeling scheme labels the n nodes of a graph with bit strings in a way that allows, given the labels of two nodes, to determine adjacency based only on those bit strings. Though many graph families have been meticulously studied for this problem, a non-trivial labeling scheme for the important family of power-law graphs has yet to be obtained. This family is particularly useful for social and web networks as their underlying graphs are typically modelled as power-law graphs. Using simple strategies and a careful selection of a parameter, we show upper bounds for such labeling schemes of O( α√ p n) for power law graphs with coefficient α, as well as nearly matching lower bounds. We also show two relaxations that allow for a label of logarithmic size, and extend the upper-bound technique to produce an improved distance labeling scheme for power-law graphs.

Original languageEnglish
Title of host publication43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016)
EditorsIoannis Chatzigiannakis, Michael Mitzenmacher, Yuval Rabani, Davide Sangiorgi
Number of pages15
PublisherSchloss Dagstuhl - Leibniz-Zentrum für Informatik
Publication date1 Aug 2016
Article number133
ISBN (Print)978-3-95977-013-2
DOIs
Publication statusPublished - 1 Aug 2016
Event43rd International Colloquium on Automata, Languages and Programming - Rom, Italy
Duration: 12 Jul 201615 Jul 2016
Conference number: 43

Conference

Conference43rd International Colloquium on Automata, Languages and Programming
Number43
Country/TerritoryItaly
CityRom
Period12/07/201615/07/2016
SeriesLeibniz International Proceedings in Informatics
Volume55
ISSN1868-8969

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