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        <identifier>oai:drops-oai.dagstuhl.de:22166</identifier>
        <datestamp>2024-12-04T06:53:44Z</datestamp>
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          <dc:title>Core Stability in Additively Separable Hedonic Games of Low Treewidth</dc:title>
          <dc:creator>Hanaka, Tesshu</dc:creator>
          <dc:creator>Köhler, Noleen</dc:creator>
          <dc:creator>Lampis, Michael</dc:creator>
          <dc:subject>Hedonic games</dc:subject>
          <dc:subject>Treewidth</dc:subject>
          <dc:subject>Core stability</dc:subject>
          <dc:description>Additively Separable Hedonic Games (ASHGs) are coalition-formation games where we are given a directed graph whose vertices represent n selfish agents and the weight of each arc uv denotes the preferences from u to v. We revisit the computational complexity of the well-known notion of core stability of symmetric ASHGs, where the goal is to construct a partition of the agents into coalitions such that no group of agents would prefer to diverge from the given partition and form a new coalition. For Core Stability Verification (CSV), we first show the following hardness results: CSV remains coNP-complete on graphs of vertex cover 2; CSV is coW[1]-hard parameterized by vertex integrity when edge weights are polynomially bounded; and CSV is coW[1]-hard parameterized by tree-depth even if all weights are from {-1,1}. We complement these results with essentially matching algorithms and color{black}{an FPT algorithm parameterized by the treewidth tw plus the maximum degree Δ (improving a previous algorithm’s dependence from 2^O(twΔ²)} to 2^O(twΔ)).} We then move on to study Core Stability (CS), which one would naturally expect to be even harder than CSV. We confirm this intuition by showing that CS is Σ₂^p-complete even on graphs of bounded vertex cover number. On the positive side, we present a 2^{2^O(Δtw)}n^O(1)-time algorithm parameterized by tw+Δ, which is essentially optimal assuming Exponential Time Hypothesis (ETH). Finally, we consider the notion of k-core stability: k denotes the maximum size of the allowed blocking (diverging) coalitions. We show that k-CSV is coW[1]-hard parameterized by k (even on unweighted graphs), while k-CS is NP-complete for all k ≥ 3 (even on graphs of bounded degree with bounded edge weights).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Tesshu Hanaka and Noleen Köhler and Michael Lampis</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 322, 35th International Symposium on Algorithms and Computation (ISAAC 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2024.39</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-221662</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2024.39</dc:identifier>
          <dc:language>eng</dc:language>
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