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Journal of Combinatorial Theory Series B
Article
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Journal of Combinatorial Theory Series B
Article . 1993
License: Elsevier Non-Commercial
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Journal of Combinatorial Theory Series B
Article . 1993 . Peer-reviewed
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Article . 1993
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In-Tournament Digraphs

In-tournament digraphs
Authors: Jørgen Bang-Jensen; Jing Huang 0007; Erich Prisner;

In-Tournament Digraphs

Abstract

We introduce a generalization of digraphs that are local tournaments. This is the class of in-tournament digraphs---the set of predecessors of every vertex induces a tournament. We show that many properties of local tournament digraphs can be extended even to in-tournament digraphs. For instance, any strongly connected in-tournament digraph has a directed Hamiltonian cycle. We prove that the underlying graph of any in- tournament digraph is 1-homotopic. We investigate the problem of which graphs are orientable as in-tournament digraphs and prove that any graph representable as an intersection subgraph of a unicyclic graph can be so oriented. It is shown that there is a polynomial algorithm for recognizing those graphs that can be oriented as in-tournament digraphs.

Keywords

paths, Hamiltonian cycle, Computational Theory and Mathematics, linegraphs, Directed graphs (digraphs), tournaments, cycles, Discrete Mathematics and Combinatorics, polynomial algorithm, in-tournament digraphs, Theoretical Computer Science

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Average
hybrid