Temporal interval cliques and independent sets
Temporal graphs have been recently introduced to model changes in a given network that occur throughout a fixed period of time. The TEMPORAL Δ CLIQUE problem, which generalizes the well known CLIQUE problem to temporal graphs, has been studied in the context of finding nodes of interest in dynamic n...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Elsevier B.V.
2023
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Online Access: | View Fulltext in Publisher View in Scopus |
LEADER | 03011nam a2200385Ia 4500 | ||
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001 | 10.1016-j.tcs.2023.113885 | ||
008 | 230529s2023 CNT 000 0 und d | ||
020 | |a 03043975 (ISSN) | ||
245 | 1 | 0 | |a Temporal interval cliques and independent sets |
260 | 0 | |b Elsevier B.V. |c 2023 | |
856 | |z View Fulltext in Publisher |u https://doi.org/10.1016/j.tcs.2023.113885 | ||
856 | |z View in Scopus |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159333368&doi=10.1016%2fj.tcs.2023.113885&partnerID=40&md5=e8143a52de2038876be003d360300e03 | ||
520 | 3 | |a Temporal graphs have been recently introduced to model changes in a given network that occur throughout a fixed period of time. The TEMPORAL Δ CLIQUE problem, which generalizes the well known CLIQUE problem to temporal graphs, has been studied in the context of finding nodes of interest in dynamic networks [TCS '16]. We introduce the TEMPORAL Δ INDEPENDENT SET problem, a temporal generalization of INDEPENDENT SET. This problem is e.g. motivated in the context of finding conflict-free schedules for maximum subsets of tasks, that have certain (time-varying) constraints within a given time period. We are specifically interested in the case where each task needs to be performed in a certain time-interval on each day and two tasks are in conflict on a certain day if their time-intervals on that day overlap. This leads us to consider both problems on the restricted class of temporal unit interval graphs, i.e., temporal graphs where each layer is a unit interval graph. We present several hardness results as well as positive results. On the algorithmic side, we provide constant-factor approximation algorithms for instances of both problems where τ, the total number of time steps (layers) of the temporal graph, and Δ, a parameter that allows us to model conflict tolerance, are constants. We develop an exact FPT algorithm for TEMPORAL Δ CLIQUE with respect to parameter τ+k. Finally, we use the notion of order preservation for temporal unit interval graphs that, informally, requires the intervals of every layer to obey a common ordering. For both problems, we provide an FPT algorithm parameterized by the size of minimum vertex deletion set to order preservation. © 2023 Elsevier B.V. | |
650 | 0 | 4 | |a Algorithms and complexity |
650 | 0 | 4 | |a Approximation algorithms |
650 | 0 | 4 | |a Computational complexity |
650 | 0 | 4 | |a FPT algorithms |
650 | 0 | 4 | |a Graph theory |
650 | 0 | 4 | |a Graphic methods |
650 | 0 | 4 | |a Independent set |
650 | 0 | 4 | |a Interval graph |
650 | 0 | 4 | |a Interval graphs |
650 | 0 | 4 | |a Order preservation |
650 | 0 | 4 | |a Parameter estimation |
650 | 0 | 4 | |a Temporal graphs |
650 | 0 | 4 | |a Temporal intervals |
650 | 0 | 4 | |a Time interval |
650 | 0 | 4 | |a Unit interval graphs |
650 | 0 | 4 | |a Vertex ordering |
650 | 0 | 4 | |a Vertex orderings |
700 | 1 | 0 | |a Hermelin, D. |e author |
700 | 1 | 0 | |a Itzhaki, Y. |e author |
700 | 1 | 0 | |a Molter, H. |e author |
700 | 1 | 0 | |a Niedermeier, R. |e author |
773 | |t Theoretical Computer Science |