173 research outputs found

    On the editing distance of graphs

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    An edge-operation on a graph GG is defined to be either the deletion of an existing edge or the addition of a nonexisting edge. Given a family of graphs G\mathcal{G}, the editing distance from GG to G\mathcal{G} is the smallest number of edge-operations needed to modify GG into a graph from G\mathcal{G}. In this paper, we fix a graph HH and consider Forb(n,H){\rm Forb}(n,H), the set of all graphs on nn vertices that have no induced copy of HH. We provide bounds for the maximum over all nn-vertex graphs GG of the editing distance from GG to Forb(n,H){\rm Forb}(n,H), using an invariant we call the {\it binary chromatic number} of the graph HH. We give asymptotically tight bounds for that distance when HH is self-complementary and exact results for several small graphs HH

    Shapley Meets Shapley

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    This paper concerns the analysis of the Shapley value in matching games. Matching games constitute a fundamental class of cooperative games which help understand and model auctions and assignments. In a matching game, the value of a coalition of vertices is the weight of the maximum size matching in the subgraph induced by the coalition. The Shapley value is one of the most important solution concepts in cooperative game theory. After establishing some general insights, we show that the Shapley value of matching games can be computed in polynomial time for some special cases: graphs with maximum degree two, and graphs that have a small modular decomposition into cliques or cocliques (complete k-partite graphs are a notable special case of this). The latter result extends to various other well-known classes of graph-based cooperative games. We continue by showing that computing the Shapley value of unweighted matching games is #P-complete in general. Finally, a fully polynomial-time randomized approximation scheme (FPRAS) is presented. This FPRAS can be considered the best positive result conceivable, in view of the #P-completeness result.Comment: 17 page

    The Maximum Order of Adjacency Matrices With a Given Rank

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    AMS Subject Classification: 05B20, 05C50.Graph;Adjacency matrix
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