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The widespread development and adoption of open-source software have built anecosystem for open development and collaboration. In this ecosystem,individuals and organizations collaborate to create high-quality software thatcan be used by everyone. Social collaboration platforms like GitHub havefurther facilitated large-scale, distributed, and fine-grained codecollaboration and technical interactions. Countless developers contribute code,review code, report bugs, and propose new features on these platforms everyday, generating a massive amount of valuable behavioral data from the opencollaboration process. This paper presents the design and implementation ofOpenDigger, a comprehensive data mining and information service system for opencollaboration in the digital ecosystem. The goal is to build a datainfrastructure for the open-source domain and promote the continuousdevelopment of the open-source ecosystem. The metrics and analysis models inthe OpenDigger system can mine various knowledge from the macro to micro levelsin the open-source digital ecosystem. Through a unified information serviceinterface, OpenDigger provides various open-source information services todifferent user groups, including governments, enterprises, foundations, andindividuals. As a novel information service system in the open-sourceecosystem, this paper demonstrates the effectiveness of the metrics and modelsin OpenDigger through several real-world scenarios, including products, tools,applications, and courses. It showcases the significant and diverse practicalapplications of the metrics and models in both algorithmic and businessaspects.

OpenDigger: Data Mining and Information Service System for Open Collaboration Digital Ecosystem