2 research outputs found
OpenDigger: Data Mining and Information Service System for Open Collaboration Digital Ecosystem
The widespread development and adoption of open-source software have built an
ecosystem for open development and collaboration. In this ecosystem,
individuals and organizations collaborate to create high-quality software that
can be used by everyone. Social collaboration platforms like GitHub have
further facilitated large-scale, distributed, and fine-grained code
collaboration and technical interactions. Countless developers contribute code,
review code, report bugs, and propose new features on these platforms every
day, generating a massive amount of valuable behavioral data from the open
collaboration process. This paper presents the design and implementation of
OpenDigger, a comprehensive data mining and information service system for open
collaboration in the digital ecosystem. The goal is to build a data
infrastructure for the open-source domain and promote the continuous
development of the open-source ecosystem. The metrics and analysis models in
the OpenDigger system can mine various knowledge from the macro to micro levels
in the open-source digital ecosystem. Through a unified information service
interface, OpenDigger provides various open-source information services to
different user groups, including governments, enterprises, foundations, and
individuals. As a novel information service system in the open-source
ecosystem, this paper demonstrates the effectiveness of the metrics and models
in OpenDigger through several real-world scenarios, including products, tools,
applications, and courses. It showcases the significant and diverse practical
applications of the metrics and models in both algorithmic and business
aspects.Comment: in Chinese languag