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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"]}
| 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). | 0 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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