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IETE Journal of Research
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https://dx.doi.org/10.1080/037...
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An Analysis of Distributed Programming Models and Frameworks for Large-scale Graph Processing

descriptionPublicationkeyboard_double_arrow_right Article 30 Apr 2020 Argentina English Publisher:Informa UK LimitedJournal:IETE Journal of Research, volume 68, pages 3,065-3,073 (issn: 0377-2063, eissn: 0974-780X, Copyright policy )
Authors: Alejandro Corbellini; Daniela Godoy; Cristian Mateos; Silvia Schiaffino; Alejandro Zunino;

doi: 10.1080/03772063.2020.1754139

handle: 11336/141318

An Analysis of Distributed Programming Models and Frameworks for Large-scale Graph Processing

Abstract

In recent years, processing and analysing large graphs has become a major need in many research areas. Distributed graph processing programming models and frameworks arised as a natural solution to...

Country
Argentina
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Keywords

DISTRIBUTED GRAPH-PROCESSING FRAMEWORKS, https://purl.org/becyt/ford/1.2, https://purl.org/becyt/ford/1, LARGE-SCALE GRAPHS, PROGRAMMING MODELS

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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).
    		 4
    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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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!
4
Average
Average
Average
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