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Dually Chordal Graphs

Dually chordal graphs

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book 01 Jan 1994 Moldova (Republic of) Publisher:Society for Industrial & Applied Mathematics (SIAM)Journal:SIAM Journal on Discrete Mathematics, volume 11, pages 437-455 (issn: 0895-4801, eissn: 1095-7146,

Authors: Brandstadt, A.; Dragan, F.F.; Chepoi, V.D.; Voloshin, V.I.;

doi: 10.1137/s0895480193253415 , 10.1007/3-540-57899-4_56

Dually Chordal Graphs

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Abstract

The authors give a unified framework for characterizations of graphs which are dual (in the sense of hypergraphs) to chordal graphs, in terms of neighborhood and clique hypergraphs. By using the hypergraph approach in a systematical way, new results are obtained, a part of previous results are generalized, and some of the proofs are simplified.

Country

Moldova (Republic of)

Related Organizations

Information Society Development Institute
Moldova (Republic of)

Keywords

Helly properties, neighborhood hypergraphs precolation processes, Line graph, Hypergraphs, characterizations, chordal graphs, New results, Graph theory (including graph drawing) in computer science, Dually chordal graphs, Engineering controlled termsGraphic methodsEngineering uncontrolled termsChordal graphs, Hyper graph, Structural characterization of families of graphs, Neighbourhood, Unified frameworkEngineering main headingGraph theory, tree structure, clique hypergraphs

Impact byBIP!

	citations 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).	121
	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.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%