An Empirical Analysis of Community and Coding Patterns in OSS4SG vs. Conventional OSS

2026-01-06

arXiv.org

AI Summary

This study addresses the lack of systematic comparison between open-source software for social good (OSS4SG) and traditional open-source projects in terms of community structure and development dynamics. Leveraging GitHub data from 422 OSS4SG and 617 traditional open-source projects, the authors employ community structure analysis, contributor behavior modeling, and statistical comparisons to reveal that OSS4SG communities exhibit greater stability—demonstrated by a 63.4% retention rate (“stickiness”)—with year-round participation and core developers primarily responsible for code quality. In contrast, traditional open-source projects show higher contributor turnover (75.4% “magnetism”), seasonal fluctuations in contributions, and greater reliance on transient contributors for issue resolution. These findings provide empirical grounding for understanding the distinct mechanisms underlying socially oriented open-source ecosystems.

Technology Category

• Data Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community
• Cognitive Modeling & Cognitive Systems: Social Cognition And Interaction
• Application Domains: Humanities & Computational Social Science

Application Category

• Social Networks and Social Media: Computational social science
• Web Mining and Content Analysis: Bridging structured and unstructured data
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

Open Source Software for Social Good (OSS4SG) projects aim to address critical societal challenges, such as healthcare access and community safety. Understanding the community dynamics and contributor patterns in these projects is essential for ensuring their sustainability and long-term impact. However, while extensive research has focused on conventional Open Source Software (OSS), little is known about how the mission-driven nature of OSS4SG influences its development practices. To address this gap, we conduct a large-scale empirical study of 1,039 GitHub repositories, comprising 422 OSS4SG and 617 conventional OSS projects, to compare community structure, contributor engagement, and coding practices. Our findings reveal that OSS4SG projects foster significantly more stable and"sticky"(63.4%) communities, whereas conventional OSS projects are more"magnetic"(75.4%), attracting a high turnover of contributors. OSS4SG projects also demonstrate consistent engagement throughout the year, while conventional OSS communities exhibit seasonal fluctuations. Additionally, OSS4SG projects rely heavily on core contributors for both code quality and issue resolution, while conventional OSS projects leverage casual contributors for issue resolution, with core contributors focusing primarily on code quality.

Problem

• OSS4SG
• community dynamics
• contributor patterns
• open source software
• mission-driven development

Innovation

• OSS4SG
• empirical study
• community dynamics
• contributor engagement
• open source software