Abstract
A temporal graph is a graph whose edge set can change over time. We only require that the edge set in each time step forms a connected graph. The temporal exploration problem asks for a temporal walk that starts at a given vertex, moves over at most one edge in each time step, visits all vertices, and reaches the last unvisited vertex as early as possible. We show in this paper that every temporal graph with n vertices can be explored in O(n1.75) time steps provided that either the degree of the graph is bounded in each step or the temporal walk is allowed to make two moves per step. This result is interesting because it breaks the lower bound of Ω(n2) steps that holds for the worst-case exploration time if only one move per time step is allowed and the graph in each step can have arbitrary degree. We complement this main result by a logarithmic inapproximability result and a proof that for sparse temporal graphs (i.e., temporal graphs with O(n) edges in the underlying graph) making O(1) moves per time step can improve the worst-case exploration time at most by a constant factor.
Original language | English |
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Title of host publication | 46th International Colloquium on Automata, Languages, and Programming, ICALP 2019 |
Editors | Christel Baier, Ioannis Chatzigiannakis, Paola Flocchini, Stefano Leonardi |
Publisher | Schloss Dagstuhl - Leibniz-Zentrum für Informatik |
Number of pages | 14 |
ISBN (Electronic) | 9783959771092 |
DOIs | |
Publication status | Published - 1 Jul 2019 |
Externally published | Yes |
Event | 46th International Colloquium on Automata, Languages, and Programming, ICALP 2019 - Patras, Greece Duration: 9 Jul 2019 → 12 Jul 2019 |
Publication series
Name | Leibniz International Proceedings in Informatics, LIPIcs |
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Volume | 132 |
ISSN (Print) | 1868-8969 |
Conference
Conference | 46th International Colloquium on Automata, Languages, and Programming, ICALP 2019 |
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Country/Territory | Greece |
City | Patras |
Period | 9/07/19 → 12/07/19 |
Funding
Funding Kelin Luo: This work was partially supported by the China Postdoctoral Science Foundation (Grant No. 2016M592811), and the China Scholarship Council (Grant No. 201706280058). Andrej Sajenko: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 379157101.
Keywords
- Algorithmic Graph Theory
- NP-Complete Problem
- Temporal Graph Exploration