Article

Exploring the patterns of social behavior in GitHub

Authors:

Tao WangAuthors Info & Claims

CrowdSoft 2014: Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies

Pages 31 - 36

https://doi.org/10.1145/2666539.2666571

Published: 17 November 2014 Publication History

Abstract

Social coding paradigm is reshaping the distributed software development with a surprising speed in recent years. Github, a remarkable social coding community, attracts a huge number of developers in a short time. Various kinds of social networks are formed based on social activities among developers. Why this new paradigm can achieve such a great success in attracting external developers, and how they are connected in such a massive community, are interesting questions for revealing power of social coding paradigm. In this paper, we firstly compare the growth curves of project and user in GitHub with three traditional open source software communities to explore differences of their growth modes. We find an explosive growth of the users in GitHub and introduce the Diffusion of Innovation theory to illustrate intrinsic sociological basis of this phenomenon. Secondly, we construct follow-networks according to the follow behaviors among developers in GitHub. Finally, we present four typical social behavior patterns by mining follow-networks containing independence-pattern, group-pattern, star-pattern and hub-pattern. This study can provide several instructions of crowd collaboration to newcomers. According to the typical behavior patterns, the community manager could design corresponding assistive tools for developers.

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Cited By

Tang YZhao SXia XBi FWang WBaysal OLinares-Vasquez MMoran KSteinmacher I(2024)HyperCRX: A Browser Extension for Insights into GitHub Projects and DevelopersProceedings of the 32nd IEEE/ACM International Conference on Program Comprehension10.1145/3643916.3644440(460-464)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643916.3644440
Liu BZhang HMa WKuang HYang YXu JGao SGao JRoychoudhury APaiva AAbreu RStorey M(2024)Mining Pull Requests to Detect Process Anomalies in Open Source Software DevelopmentProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639196(1-13)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3597503.3639196
Mehler POtto ESapienza A(2024)Who makes open source code? The hybridisation of commercial and open source practicesEPJ Data Science10.1140/epjds/s13688-024-00475-013:1Online publication date: 6-May-2024
https://doi.org/10.1140/epjds/s13688-024-00475-0
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Exploring the patterns of social behavior in GitHub

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cover image ACM Conferences

CrowdSoft 2014: Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies

November 2014

66 pages

ISBN:9781450332248

DOI:10.1145/2666539

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 17 November 2014

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SIGSOFT/FSE'14: 22nd ACM SIGSOFT Symposium on the Foundations of Software Engineering

November 17, 2014

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Cited By

Tang YZhao SXia XBi FWang WBaysal OLinares-Vasquez MMoran KSteinmacher I(2024)HyperCRX: A Browser Extension for Insights into GitHub Projects and DevelopersProceedings of the 32nd IEEE/ACM International Conference on Program Comprehension10.1145/3643916.3644440(460-464)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643916.3644440
Liu BZhang HMa WKuang HYang YXu JGao SGao JRoychoudhury APaiva AAbreu RStorey M(2024)Mining Pull Requests to Detect Process Anomalies in Open Source Software DevelopmentProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639196(1-13)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3597503.3639196
Mehler POtto ESapienza A(2024)Who makes open source code? The hybridisation of commercial and open source practicesEPJ Data Science10.1140/epjds/s13688-024-00475-013:1Online publication date: 6-May-2024
https://doi.org/10.1140/epjds/s13688-024-00475-0
Puangjaktha PChoetkiertikul MTuarob S(2024)“Paper, Meet Code”: A Deep Learning Approach to Linking Scholarly Articles With GitHub RepositoriesIEEE Access10.1109/ACCESS.2024.339976712(68410-68426)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3399767
Börstler JAli NPetersen KEngström E(2024)Acceptance behavior theories and models in software engineering — A mapping studyInformation and Software Technology10.1016/j.infsof.2024.107469172(107469)Online publication date: Aug-2024
https://doi.org/10.1016/j.infsof.2024.107469
Safiullina GGumerov ADlamini GSucci G(2024)Preliminary Study: Exploring GitHub Repository MetricsAdvances in Information and Communication10.1007/978-3-031-53960-2_38(579-591)Online publication date: 21-Mar-2024
https://doi.org/10.1007/978-3-031-53960-2_38
Jungwirth GSaha ASchröder MFiebig TLindorfer MCito J(2023)Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)10.1109/MSR59073.2023.00051(322-333)Online publication date: May-2023
https://doi.org/10.1109/MSR59073.2023.00051
Seker ADiri BArslan HAmasyalı M(2022)Open Source Software Development ChallengesResearch Anthology on Agile Software, Software Development, and Testing10.4018/978-1-6684-3702-5.ch102(2134-2164)Online publication date: 2022
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Bhattarai PGhassemi MAlhanai TAizawa AMandl TCarevic ZHinze AMayr PSchaer P(2022)Open-source code repository attributes predict impact of computer science researchProceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries10.1145/3529372.3530927(1-7)Online publication date: 20-Jun-2022
https://dl.acm.org/doi/10.1145/3529372.3530927
Zhang XWang TYu YZeng QLi ZWang H(2022)Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github’s Sponsor MechanismProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501822(1-18)Online publication date: 29-Apr-2022
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