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Algorithmica
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Algorithmica
Article . 2004 . Peer-reviewed
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Nearly Linear Time Minimum Spanning Tree Maintenance for Transient Node Failures

Nearly linear time minimum spanning tree maintenance for transient node failures
Authors: E. NARDELLI; PROIETTI, GUIDO; P. WIDMAYER;

Nearly Linear Time Minimum Spanning Tree Maintenance for Transient Node Failures

Abstract

Algorithmica, 40 (2)

ISSN:0178-4617

ISSN:1432-0541

Keywords

Transient node failures, 000, Fault tolerance, Minimum spanning tree, Settore INF/01 - INFORMATICA, Graph algorithms; Minimum spanning tree; Transient node failures; Fault tolerance; Algorithmic mechanism design, Reliability, testing and fault tolerance of networks and computer systems, Graph theory (including graph drawing) in computer science, Graph algorithms (graph-theoretic aspects), Graph algorithms; Swap algorithms; Minimum spanning tree, Graph algorithms - Minimum spanning tree - Transient node failures - Fault tolerance - Algorithmic mechanism design, Graph algorithms, Algorithmic mechanism design

  • BIP!
    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).
    14
    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.
    Average
    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 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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).
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!
14
Average
Top 10%
Top 10%
Green
hybrid