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Main Authors: Yang, Jianmei, Pan, Xiangdong, Zeng, An, Bai, Hua, McKelvey, Bill, Di, Zengru
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2509.23844
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author Yang, Jianmei
Pan, Xiangdong
Zeng, An
Bai, Hua
McKelvey, Bill
Di, Zengru
author_facet Yang, Jianmei
Pan, Xiangdong
Zeng, An
Bai, Hua
McKelvey, Bill
Di, Zengru
contents Based on three rounds of data extraction, we first construct complex network models to identify the cascade sizes of stopped projects and their distributions in SourceForge (March 2000 to February 2013). We then analyze and discover characteristics of these cascade sizes and their distributions: most cascade sizes are 1; two extreme sizes coexist; and the cascade sizes in each Period of SourceForge's peak phase exhibit a power-law distribution while lacking scale-free properties. Finally, we discuss the limitations of this study and their implications for Self-Organized Criticality theory.
format Preprint
id arxiv_https___arxiv_org_abs_2509_23844
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Analyzing Cascade Sizes of Stopped Projects in SourceForge: Is SOC Theory Applicable to OSSOCs?
Yang, Jianmei
Pan, Xiangdong
Zeng, An
Bai, Hua
McKelvey, Bill
Di, Zengru
Physics and Society
Based on three rounds of data extraction, we first construct complex network models to identify the cascade sizes of stopped projects and their distributions in SourceForge (March 2000 to February 2013). We then analyze and discover characteristics of these cascade sizes and their distributions: most cascade sizes are 1; two extreme sizes coexist; and the cascade sizes in each Period of SourceForge's peak phase exhibit a power-law distribution while lacking scale-free properties. Finally, we discuss the limitations of this study and their implications for Self-Organized Criticality theory.
title Analyzing Cascade Sizes of Stopped Projects in SourceForge: Is SOC Theory Applicable to OSSOCs?
topic Physics and Society
url https://arxiv.org/abs/2509.23844