基于动态级联失效的开发者协作网络鲁棒性研究

周琴; 徐桂琼; 周琴; 徐桂琼

doi:10.13306/j.1672-3813.2025.01.005

复杂系统与复杂性科学 >

2025 , Vol. 22 >Issue 1: 33 - 42

DOI: https://doi.org/10.13306/j.1672-3813.2025.01.005

复杂网络

基于动态级联失效的开发者协作网络鲁棒性研究

周琴 ,
徐桂琼 ,
周琴 ,
徐桂琼

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上海大学管理学院,上海 200444

周琴(1999-),女,四川南充人,硕士研究生,主要研究方向为复杂系统建模、开源技术与开源社区网络演化。

收稿日期: 2023-06-27

修回日期: 2023-11-10

网络出版日期: 2025-04-27

基金资助

国家自然科学基金(11871328);上海市“科技创新”软科学重点项目(2106909800)

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Research on the Robustness of Developer Collaboration Network Based on Dynamic Cascading Failure

ZHOU Qin ,
XU Guiqiong ,
ZHOU Qin ,
XU Guiqiong

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School of Management, Shanghai University, Shanghai 200444, China

Received date: 2023-06-27

Revised date: 2023-11-10

Online published: 2025-04-27

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摘要

开源社区关键开发者流失会造成剩余开发者心理和行为变化,引发系列级联效应。考虑跟随效应下关键开发者流失对剩余开发者工作强度和协作意愿的影响,设计负载容量变化的动态级联失效模型,并以开源设计平台AngularJS为例,探究开发者协作网络鲁棒性。研究发现:开源社区开发者协作网络抗干扰能力阈值存在最优区间;网络鲁棒性受初始负载分布的影响极大且在最高负载节点流失方式下最弱。研究结果为开源社区的管理运营提供了理论指导和支持。

关键词： 开源社区; 开发者协作网络; 动态级联失效; 鲁棒性

本文引用格式

周琴 , 徐桂琼 , 周琴 , 徐桂琼 . 基于动态级联失效的开发者协作网络鲁棒性研究[J]. 复杂系统与复杂性科学, 2025 , 22(1) : 33 -42 . DOI: 10.13306/j.1672-3813.2025.01.005

Abstract

The loss of key developers in the open-source community will cause changes in the psychology and behavior of remaining developers, leading to a series of cascading effects. Considering the impact of the loss of key developers on the work intensity and collaboration willingness of remaining developers under the following effect, a dynamic cascade failure model with load capacity changes is designed. Taking the open-source design platform AngularJS as an example, the dynamic robustness of the open-source community developer collaboration network is investigated. The results show that the threshold of anti-interference ability of open-source community developer collaboration network has an optimal interval. The robustness of the developer collaboration network is greatly affected by the initial load distribution and is the weakest in the mode of the highest load node loss. The results are beneficial for the management and operation of open-source community.

Key words： open-source community; developer collaboration network; dynamic cascade failure; robustness

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