On the evaluation of large and sparse graph reachability queries

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Abstract

Given a directed graph G with n nodes and e edges, to check whether a node v is reachable from another node u through a path is often required. Such a problem is fundamental to numerous applications, including geographic navigation, Internet routing, ontology queries based on RDF/OWL, and metabolic network, as well as XML indexing. Among them, some involve huge but sparse graphs and require fast answering of reachability queries. In this paper, we propose a novel method called core labeling to handle reachability queries for massive, sparse graphs. The goal is to optimize both query time and labeling time. Our method consists of two schemes: Core-I and Core-II. For the Core-I labeling scheme, both the time and space requirements are bounded by O(n∈+∈e∈+∈s•b), where s is the number of the start nodes of all non-tree edges (edges that do not appear in the spanning tree of G); andb is the width of a subgraph of G. The size of that subgraph is bounded by O(t), where t is the number of all the non-tree edges. The query time of Core-I is bounded by O(logb). The Core-II labeling scheme has constant query time, but the labeling time is increased to O(n∈+∈e∈+∈ s•b•logb). © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Chen, Y. (2008). On the evaluation of large and sparse graph reachability queries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5181 LNCS, pp. 97–105). https://doi.org/10.1007/978-3-540-85654-2_12

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