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Antepenultimate broadcasting

Authors: Bermond, Jean-Claude; Fraigniaud, Pierre; Peters, Joseph;

Antepenultimate broadcasting

Abstract

AbstractBroadcasting is an information dissemination problem in which information originating at one node of a communication network (modeled as a graph) must be transmitted to all other nodes as quickly as possible. A broadcast graph is a graph which permits broadcasting from any originator in minimum time. in this paper, we present new methods for constructing sparse broadcast graphs. Our constructions are based on graph compounding operations which are relative to vertex sets with certain properties that depend on the broadcast protocols of the graphs. We show that many previous methods for constructing sparse broadcast graphs are special cases of our methods. We demonstrate our constructions by producing new sparse broadcast graphs and by showing how many previously constructed graphs can be obtained in a systematic way.

Country
France
Keywords

[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI], Communication networks in operations research, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], broadcasting, information dissemination, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

  • BIP!
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    selected citations
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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).
    45
    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 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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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!
45
Top 10%
Top 10%
Top 10%
Green
bronze