Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38917
Title: Indexing Continuous Paths in Temporal Graphs
Authors: KUIJPERS, Bart 
Ribas, Ignacio
SOLIANI, Valeria 
VAISMAN, Alejandro 
Issue Date: 2022
Publisher: Springer
Source: Chiusano, Silvia; Cerquitelli, Tania; Wrembel, Robert; Norvaag, Kjetil; Catania, Barbara; Vargas-Solar, Genoveva; Zumpano, Ester (Ed.). Springer, p. 232 -242
Series/Report: Communications in Computer and Information Science
Series/Report no.: 1652
Abstract: Temporal property graph databases track the evolution over time of nodes, properties, and edges in graphs. Computing temporal paths in these graphs is hard. In this paper we focus on indexing Continuous Paths, defined as paths that exist continuously during a certain time interval. We propose an index structure called TGIndex where index nodes are defined as nodes in the graph database. Two different indexing strategies are studied. We show how the index is used for querying and also present different search strategies, that are compared and analyzed using a large synthetic graph.
Keywords: Temporal graphs;Path indexing;Temporal graph index
Document URI: http://hdl.handle.net/1942/38917
ISBN: 978-3-031-15742-4
DOI: 10.1007/978-3-031-15743-1_22
ISI #: 000892609000022
Datasets of the publication: https://doi.org/10.1007/978-3-031-15743-1_22
Rights: 2022 Springer Nature Switzerland AG
Category: C1
Type: Proceedings Paper
Validations: ecoom 2023
Appears in Collections:Research publications

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