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Software . 2021
License: https://www.gnu.org/licenses/agpl.txt
Data sources: Datacite
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Software . 2021
License: http://www.gnu.org/licenses/agpl.txt
Data sources: ZENODO
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Software . 2021
License: https://www.gnu.org/licenses/agpl.txt
Data sources: Datacite
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COLNETv1.0.0 neural network training scripts

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 06 May 2021 English Publisher:Zenodo
Authors: Rodríguez-Genó, Camilo Fernando; Alfonso, Lester;

doi: 10.5281/zenodo.4740129 , 10.5281/zenodo.4740128

COLNETv1.0.0 neural network training scripts

Abstract

- The scripts included in this section are used to generate the input and target data used to train the neural networks included in COLNETv1.0.0. - The scripts employed to train the neural networks are also included, as well as the sample data and trained networks. - All scripts were developed using MATLAB R2020a under license number 40816183. A recent running version of MATLAB is needed to run the scripts (2019a or later).

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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.
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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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