Identifying Emergent Leadership in OSS Projects Based on Communication Styles
Yuekai Huang, Ye Yang, Junjie Wang, Wei Zheng, Qing Wang

TL;DR
This paper introduces iLead, an automated method to identify emergent leadership in OSS communities by analyzing communication styles in issue comments, revealing leadership behaviors beyond traditional contribution metrics.
Contribution
The paper presents a novel automated approach that mines communication styles and identifies emergent leadership behaviors in OSS projects using linguistic patterns.
Findings
iLead achieves median precision of 0.82 and recall of 0.78
Outperforms ten machine/deep learning baselines
Provides practical insights for community building and leadership development
Abstract
In open source software (OSS) communities, existing leadership indicators are dominantly measured by code contribution or community influence. Recent studies on emergent leadership shed light on additional dimensions such as intellectual stimulation in collaborative communications. To that end, this paper proposes an automated approach, named iLead, to mine communication styles and identify emergent leadership behaviors in OSS communities, using issue comments data. We start with the construction of 6 categories of leadership behaviors based on existing leadership studies. Then, we manually label leadership behaviors in 10,000 issue comments from 10 OSS projects, and extract 304 heuristic linguistic patterns which represent different types of emergent leadership behaviors in flexible and concise manners. Next, an automated algorithm is developed to merge and consolidate different…
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Taxonomy
TopicsSoftware Engineering Research · Open Source Software Innovations · Software Engineering Techniques and Practices
