微观和宏观层面的社交网络属性与虚拟协作中的个人生产力之间的关联
Dongning Deng1, Julia Koltai2,3
1Doctoral School of Sociology, Faculty of Social Sciences, Eötvös Loránd University, Pázmány Péter sétány 1/A, Budapest, 1117, Hungary.
Scientific reports
|July 15, 2025
概括
社交网络属性在开源软件开发中显著影响个人生产力. 最佳的生产力来自适度的连接,有影响力的同行和平衡的网络结构,避免过于封闭或不多样化的环境.
科学领域:
- 计算机科学 计算机科学
- 社会学 社会学 社会学
- 网络科学 网络科学
背景情况:
- 社交网络属性 (SNP) 与团队生产力有关,但个人动态和复杂的关系需要进一步研究.
- 了解这些动态对于优化开源软件开发 (OSSD) 等协作环境至关重要.
研究的目的:
- 在OSSD项目中分析SNP与个人生产率之间的复杂,非线性关系.
- 确定促进或阻碍生产力的特定网络结构和个人角色.
主要方法:
- 分析了58个OSSD项目,使用了一套全面的SNP.
- 通过编辑代码的贡献来衡量个人生产力.
- 应用社交网络和统计分析来发现互动动态.
主要成果:
- 高效的个人表现出适度的联系,有影响力的同龄人,以及分散但在本地凝聚在一起的环境.
- 集中的结构有利于边缘的个人;有影响力的集群培养"协调室".
- 低生产率和自由骑乘与封闭的,非多样化的网络相关;经纪角色是关键的,但需要仔细定位.
结论:
- 在OSSD中,SNP对个人生产力有着显著而复杂的影响.
- 网络结构,中心性,经纪和地方凝聚力极大地影响了贡献水平.
- 调查结果为OSSD治理,潜在的不平等以及更具包容性的团队结构的策略提供了信息.
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