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CF22: Efficient Trimming for Strongly Connected Components Calculation (FB-AI-Trim)

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 08 Apr 2022Publisher:Zenodo
Authors: Dante Niewenhuis; Ana Lucia Varbanescu;

doi: 10.5281/zenodo.6423988 , 10.5281/zenodo.6423987 , 10.5281/zenodo.6474796

CF22: Efficient Trimming for Strongly Connected Components Calculation (FB-AI-Trim)

Abstract

In this archive we present the code and samples of the data we used for our publication in ACM Computing Frontiers 2022. The publication is entitled "Efficient Trimming for Strongly Connected Components Calculation" and references the repository where the code and data are also maintained.

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Keywords

AI-enhanced algorithm, computing frontiers 2022 artifact, parallel graph processing, strongly connected components

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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).
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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.
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!
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