Excluding induced subgraphs II: extremal graphs
Discrete Applied Mathematics
On the size of hereditary classes of graphs
Journal of Combinatorial Theory Series B
The speed of hereditary properties of graphs
Journal of Combinatorial Theory Series B
The penultimate rate of growth for graph properties
European Journal of Combinatorics
Efficient Testing of Large Graphs
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Additive Approximation for Edge-Deletion Problems
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
A Characterization of the (natural) Graph Properties Testable with One-Sided Error
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Graph limits and parameter testing
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
On the editing distance of graphs
Journal of Graph Theory
The maximum edit distance from hereditary graph properties
Journal of Combinatorial Theory Series B
The maximum edit distance from hereditary graph properties
Journal of Combinatorial Theory Series B
Hardness of edge-modification problems
Theoretical Computer Science
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For a graph property P, the edit distance of a graph G from P, denoted EP(G), is the minimum number of edge modifications (additions or deletions) one needs to apply to G to turn it into a graph satisfying P. What is the furthest graph on n vertices from P and what is the largest possible edit distance from P? Denote this maximal distance by ed(n,P). This question is motivated by algorithmic edge-modification problems, in which one wishes to find or approximate the value of EP(G) given an input graph G. A monotone graph property is closed under removal of edges and vertices. Trivially, for any monotone property, the largest edit distance is attained by a complete graph. We show that this is a simple instance of a much broader phenomenon. A hereditary graph property is closed under removal of vertices. We prove that for any hereditary graph property P, a random graph with an edge density that depends on P essentially achieves the maximal distance from P, that is: ed(n,P) = EP(G(n,p(P))) + o(n2) with high probability. The proofs combine several tools, including strengthened versions of the Szemerédi regularity lemma, properties of random graphs and probabilistic arguments. © 2008 Wiley Periodicals, Inc. Random Struct. Alg., 2008