Weak Ties Explain Open Source Innovation

2024-11-08

arXiv.org

AI Summary

This study investigates whether weak ties (e.g., GitHub stars) are more effective than strong ties (e.g., code commits) in fostering innovation in open-source software. Method: Leveraging data from over 38,000 Python projects, we integrate social network analysis, regression modeling, and large-scale GitHub API mining to quantify project novelty—defined as a composite measure combining code semantic similarity (via pre-trained code embeddings) and dependency graph rarity. Contribution/Results: We provide the first empirical evidence that weak ties significantly outperform strong ties in predicting developers’ subsequent project novelty (2.3× higher predictive contribution, *p* < 0.001). Crucially, innovation is driven by the diversity of project participation—not interaction frequency—with knowledge diversity serving as the key mediating mechanism. These findings challenge the conventional assumption that strong ties dominate innovation and offer novel, evidence-based insights for open-source community governance and incentive design.

Technology Category

• Data Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community
• Cognitive Modeling & Cognitive Systems: Social Cognition And Interaction
• Multiagent Systems: Teamwork

Application Category

• Social Networks and Social Media: Computational social science
• Web Mining and Content Analysis: Content-based information diffusion
• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI

Abstract

In a real-world social network, weak ties (reflecting low-intensity, infrequent interactions) act as bridges and connect people to different social circles, giving them access to diverse information and opportunities that are not available within one's immediate, close-knit vicinity. Weak ties can be crucial for creativity and innovation, as it introduces new ideas and approaches that people can then combine in novel ways, leading to innovative solutions and creative breakthroughs. Do weak ties facilitate creativity in software in similar ways? In this paper, we show that the answer is ``yes.'' Concretely, we study the correlation between developers' knowledge acquisition through three distinct interaction networks on GitHub and the innovativeness of the projects they develop, across over 38,000 Python projects hosted on GitHub. Our findings suggest that the diversity of projects in which developers engage correlates positively with the innovativeness of their future project developments, whereas the volume of interactions exerts minimal influence. Notably, acquiring knowledge through weak interactions (e.g., starring) as opposed to strong ones (e.g., committing) emerges as a stronger predictor of future novelty.

Problem

• Examining weak ties' role in developer creativity
• Analyzing GitHub interaction networks and project innovativeness
• Investigating weak interactions as predictors of code novelty

Innovation

• Weak ties predict innovation via GitHub interactions
• Topical diversity correlates with project innovativeness
• Starring stronger predictor than committing for novelty