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Distributed Detection of Cliques in Dynamic Networks Bonne, Matthias Censor-Hillel, Keren distributed computing subgraph detection dynamic graphs This paper provides an in-depth study of the fundamental problems of finding small subgraphs in distributed dynamic networks. While some problems are trivially easy to handle, such as detecting a triangle that emerges after an edge insertion, we show that, perhaps somewhat surprisingly, other problems exhibit a wide range of complexities in terms of the trade-offs between their round and bandwidth complexities. In the case of triangles, which are only affected by the topology of the immediate neighborhood, some end results are: - The bandwidth complexity of 1-round dynamic triangle detection or listing is Theta(1). - The bandwidth complexity of 1-round dynamic triangle membership listing is Theta(1) for node/edge deletions, Theta(n^{1/2}) for edge insertions, and Theta(n) for node insertions. - The bandwidth complexity of 1-round dynamic triangle membership detection is Theta(1) for node/edge deletions, O(log n) for edge insertions, and Theta(n) for node insertions. Most of our upper and lower bounds are tight. Additionally, we provide almost always tight upper and lower bounds for larger cliques. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Matthias Bonne and Keren Censor-Hillel 2019 Is Part Of LIPIcs, Volume 132, 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.ICALP.2019.132 urn:nbn:de:0030-drops-107082 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2019.132 eng https://creativecommons.org/licenses/by/3.0/legalcode