Computing maximal cliques in link streams
•We introduce delta-cliques, that generalize graph cliques to link streams/time-varying graphs.•We provide a greedy algorithm to compute all delta-cliques of a link stream.•Implementation available on http://www.github.com/TiphaineV/delta-cliques. A link stream is a collection of triplets (t,u,v) in...
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| Vydáno v: | Theoretical computer science Ročník 609; číslo Part 1; s. 245 - 252 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
04.01.2016
Elsevier |
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| ISSN: | 0304-3975, 1879-2294 |
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| Abstract | •We introduce delta-cliques, that generalize graph cliques to link streams/time-varying graphs.•We provide a greedy algorithm to compute all delta-cliques of a link stream.•Implementation available on http://www.github.com/TiphaineV/delta-cliques.
A link stream is a collection of triplets (t,u,v) indicating that an interaction occurred between u and v at time t. We generalize the classical notion of cliques in graphs to such link streams: for a given Δ, a Δ-clique is a set of nodes and a time interval such that all pairs of nodes in this set interact at least once during each sub-interval of duration Δ. We propose an algorithm to enumerate all maximal (in terms of nodes or time interval) cliques of a link stream, and illustrate its practical relevance to a real-world contact trace. |
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| AbstractList | A link stream is a sequence of triplets $(t,u,v)$ indicating that an interaction occurred between $u$ and $v$ at time $t$. We generalize the classical notion of cliques in graphs to such link streams: for a given $\Delta$, a $\Delta$-clique is a set of nodes and a time interval such that all pairs of nodes in this set interact at least every $\Delta$ during this time interval. We propose an algorithm to enumerate all maximal cliques of a link stream, and illustrate its practical relevance on a real-world contact trace. •We introduce delta-cliques, that generalize graph cliques to link streams/time-varying graphs.•We provide a greedy algorithm to compute all delta-cliques of a link stream.•Implementation available on http://www.github.com/TiphaineV/delta-cliques. A link stream is a collection of triplets (t,u,v) indicating that an interaction occurred between u and v at time t. We generalize the classical notion of cliques in graphs to such link streams: for a given Δ, a Δ-clique is a set of nodes and a time interval such that all pairs of nodes in this set interact at least once during each sub-interval of duration Δ. We propose an algorithm to enumerate all maximal (in terms of nodes or time interval) cliques of a link stream, and illustrate its practical relevance to a real-world contact trace. A link stream is a collection of triplets indicating that an interaction occurred between u and v at time t. We generalize the classical notion of cliques in graphs to such link streams: for a given Delta , a Delta -clique is a set of nodes and a time interval such that all pairs of nodes in this set interact at least once during each sub-interval of duration Delta . We propose an algorithm to enumerate all maximal (in terms of nodes or time interval) cliques of a link stream, and illustrate its practical relevance to a real-world contact trace. |
| Author | Latapy, Matthieu Viard, Tiphaine Magnien, Clémence |
| Author_xml | – sequence: 1 givenname: Tiphaine surname: Viard fullname: Viard, Tiphaine email: tiphaine.viard@gmail.com – sequence: 2 givenname: Matthieu surname: Latapy fullname: Latapy, Matthieu – sequence: 3 givenname: Clémence surname: Magnien fullname: Magnien, Clémence |
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| Cites_doi | 10.1006/jmbi.1998.1689 10.1145/362342.362367 10.1016/j.tcs.2008.05.010 10.1145/2543629 10.1016/j.tcs.2006.06.015 10.1016/j.physrep.2012.03.001 10.1016/0020-0190(88)90065-8 10.1371/journal.pone.0107878 10.1016/S0304-3975(00)00286-3 |
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| Keywords | Link streams Graphs Algorithms Cliques Time-varying graphs Temporal networks algorithms graphs time-varying graphs cliques temporal networks link streams |
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| SubjectTerms | Algorithms Cliques Collection Computation Computer Science Contact Data Structures and Algorithms Graphs Intervals Link streams Links Other Streams Temporal networks Time-varying graphs |
| Title | Computing maximal cliques in link streams |
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