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Self Assembling Graphs

Self-assembling graphs
Authors: Danos, Vincent; Tarissan, Fabien;

Self Assembling Graphs

Abstract

A self-assembly algorithm for synchronising agents and have them arrange according to a particular graph is given. This algorithm, expressed using an ad hoc rule-based process algebra, extends Klavins' original proposal, in that it relies only on point-to-point communication, and can deal with any assembly graph whereas Klavins' method dealt only with trees.

Country
France
Keywords

Concurrency theory, Graph theory (including graph drawing) in computer science, Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.), [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Distributed algorithms, [INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA], concurrency theory, process algebra, distributed algorithm theory

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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.
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    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!
2
Average
Average
Average
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