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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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SIAM Journal on Computing
Article . 1981 . Peer-reviewed
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Information Dissemination in Trees

Information dissemination in trees
Authors: Ernest J. Cockayne; Peter J. Slater; Stephen T. Hedetniemi;

Information Dissemination in Trees

Abstract

Summary: In large organizations there is frequently a need to pass information from one place, e.g., the president's office or company headquarters, to all other divisions, departments or employees. This is often done along organizational reporting lines. Insofar as most organizations are structured in a hierarchical or treelike fashion, this can be described as a process of information dissemination in trees. In this paper we present an algorithm which determines the amount of time required to pass, or to broadcast, a unit of information from an arbitrary vertex to every other vertex in a tree. As a byproduct of this algorithm we determine the broadcast center of a tree, i.e., the set of all vertices from which broadcasting can be accomplished in the least amount of time. It is shown that the subtree induced by the broadcast center of a tree is always a star with two or more vertices. We also show that the problem of determining the minimum amount of time required to broadcast from an arbitrary vertex in an arbitrary graph is NP-complete.

Keywords

Graph theory (including graph drawing) in computer science, Analysis of algorithms and problem complexity, Applications of graph theory to circuits and networks, Deterministic network models in operations research, broadcasting, graph information dissemination, NP-complete

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    citations
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    163
    popularity
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    Top 10%
    influence
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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!
163
Top 10%
Top 1%
Top 10%
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