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2001
DOI: 10.1023/a:1013744324808
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A Characterization of the Interval Function of a (Finite or Infinite) Connected Graph

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Cited by 26 publications
(18 citation statements)
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“…The closed intervals and convex sets in a connected graph were studied and characterized by Nebeský [6,7] and were also investigated extensively in the book by Mulder [5], where it was shown that these sets provide an important tool for studying metric properties of connected graphs. Convexity in graphs was also studied in [2,3,4].…”
Section: Introductionmentioning
confidence: 99%
“…The closed intervals and convex sets in a connected graph were studied and characterized by Nebeský [6,7] and were also investigated extensively in the book by Mulder [5], where it was shown that these sets provide an important tool for studying metric properties of connected graphs. Convexity in graphs was also studied in [2,3,4].…”
Section: Introductionmentioning
confidence: 99%
“…Axiom (S) can be compared to Axiom VIII of the characterization of the set of all shortest paths in a connected graph in [3], to Axiom VIII of the characterization of the interval function of a finite connected graph in [4], to Axiom Y of the characterization of the interval function of an infinite connected graph in [6], and to Axiom G of the characterization of the set all steps in a finite connected graph in [5]. (By the interval function of a graph is meant the interval function in the sense of H. M. Mulder [2].…”
Section: New Axiommentioning
confidence: 99%
“…The definition of I is in terms of the distance function of G. Nebeský [9], [10] has given an axiomatic characterization of the geodesic interval function without any reference to metric notions.…”
Section: Introductionmentioning
confidence: 99%
“…Motivated by the characterization of the geodesic interval function by Nebeský [9], [10] using axioms on I only, we present in this paper an axiomatic characterization of the all-paths function A. The all-paths function has a nice structure, reflecting the block cut-vertex structure of the graph.…”
Section: Introductionmentioning
confidence: 99%