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The Computer Journal
Article . 2022 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
DBLP
Article . 2023
Data sources: DBLP
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Residual Closeness, Matching Number and Chromatic Number

descriptionPublicationkeyboard_double_arrow_right Article 12 Feb 2022 English Publisher:Oxford University Press (OUP)Journal:The Computer Journal, volume 66, pages 1,156-1,166 (issn: 0010-4620, eissn: 1460-2067, Copyright policy )
Authors: Yanna Wang; Bo Zhou;

doi: 10.1093/comjnl/bxac004

Residual Closeness, Matching Number and Chromatic Number

Abstract

Abstract Residual closeness is a novel graph-based network vulnerability parameter. In this model, links are perfectly reliable and the nodes fail independently of each other. We characterize those graphs with maximum residual closeness and those connected graphs with minimum residual closeness when matching number (chromatic number, respectively) is fixed.

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    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).
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    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).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
10
Top 10%
Top 10%
Top 10%
hybrid