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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
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Dataset For: Evaluating Phylogenetic Methods For Quantifying Risks And Opportunities Presented By Forks In Open Source Software (Master Dissertation).

Authors: Ortiz-Troncoso, Alvaro;

Dataset For: Evaluating Phylogenetic Methods For Quantifying Risks And Opportunities Presented By Forks In Open Source Software (Master Dissertation).

Abstract

This is the data for my master dissertation [1]. If you wish to get a copy, download it from Zenodo and open docs/master.pdf. Data acquisition and encoding techniques are described in paragraph 3.1.1 (table 3.1). The data is described in more detail in paragraph 4.1 (table 4.2). * fork1_all.csv: MySQL server / MariaDB server * fork2_all.csv: Linux kernel / Android kernel * fork3_all.csv: Apache OpenOffice / LibreOffice ==Cite== [1] A. Ortiz-Troncoso. Evaluating phylogenetic methods for quantifying risks and opportunities presented by forks in open source software (master dissertation). Zenodo, 2018. doi: http://doi.org/10.5281/zenodo.1158292

{"references": ["A. Ortiz-Troncoso. Evaluating phylogenetic methods for quantifying risks and opportunities presented by forks in open source software (master dissertation). Zenodo, 2018. doi: http://doi.org/10.5281/zenodo.1158292"]}

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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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