{"title":"ASONAM 2022 Tutorial I: Mining and Analysing Collaboration in git Repositories with git2net","authors":"Christoph Gote","doi":"10.1109/asonam55673.2022.10068714","DOIUrl":null,"url":null,"abstract":"The tutorial will provide an introduction to the git2net, an open-source Python package for mining and analyzing collaboration in git repositories. The tutorial will cover various aspects of using git2net to analyze collaboration within git repositories, including hands-on examples and interactive tutorials using Jupyter notebooks. Attendees will learn how to use git2net to extract co-editing networks, visualize collaboration patterns, and analyze the contributions of individual developers. The tutorial is platform-independent and can be used on all platforms. The tutorial materials, including Jupyter notebooks, can be accessed through the git repository (https://github.com/gotec/git2net-tutorials). Attendees can directly interact with the notebooks through Binder, Google Colab or view them in NBViewer by following the links provided in the abstract. The tutorial will cover topics such as cloning a repository for analysis, mining git repositories with git2net, author disambiguation with gambit, network analysis with pathpy, database-based analyses, and computing file complexity with git2net. Installation instructions for git2net as well as all other information regarding its development can be found in the original development repository (https://github.com/gotec/git2net). The tutorial is suitable for developers, data scientists and researchers who are interested in understanding collaboration patterns in software development.","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/asonam55673.2022.10068714","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The tutorial will provide an introduction to the git2net, an open-source Python package for mining and analyzing collaboration in git repositories. The tutorial will cover various aspects of using git2net to analyze collaboration within git repositories, including hands-on examples and interactive tutorials using Jupyter notebooks. Attendees will learn how to use git2net to extract co-editing networks, visualize collaboration patterns, and analyze the contributions of individual developers. The tutorial is platform-independent and can be used on all platforms. The tutorial materials, including Jupyter notebooks, can be accessed through the git repository (https://github.com/gotec/git2net-tutorials). Attendees can directly interact with the notebooks through Binder, Google Colab or view them in NBViewer by following the links provided in the abstract. The tutorial will cover topics such as cloning a repository for analysis, mining git repositories with git2net, author disambiguation with gambit, network analysis with pathpy, database-based analyses, and computing file complexity with git2net. Installation instructions for git2net as well as all other information regarding its development can be found in the original development repository (https://github.com/gotec/git2net). The tutorial is suitable for developers, data scientists and researchers who are interested in understanding collaboration patterns in software development.