Research on the Influence Mechanism of Open Source Projects using Python and Stata
- DOI
- 10.2991/978-94-6463-102-9_140How to use a DOI?
- Keywords
- Open innovation; GitHub; Open source community
- Abstract
As a successful practice of open innovation (OI) in software field, open source community provides a new and sufficient impetus for the development of soft-ware industry with increasing technology intensity. Community influence of open source projects is not only an important indicator to measure project performance, but also the spread effectiveness of the project in open source projects. This paper holds that open source projects are excellent examples of projects under the topic of OI. Through the analysis of community influence factors of open source communities discussed, the relationship between OI mechanism at the company level and project level is expounded. The Python crawler technology was used to collect the open source project data of 25 well-known Chinese enterprises from GitHub, and the data were processed for the mixed cross section data of the studio, and the double fixed effect regression analysis was performed on the data using Stata16.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xincheng Wu AU - Yaqi Wang PY - 2022 DA - 2022/12/29 TI - Research on the Influence Mechanism of Open Source Projects using Python and Stata BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 1355 EP - 1362 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_140 DO - 10.2991/978-94-6463-102-9_140 ID - Wu2022 ER -