Departament d'Enginyeria Química, Universitat Rovira i Virgili, Tarragona 43007, Catalonia, Spain.
Sci Rep. 2013;3:1999. doi: 10.1038/srep01999.
Despite the well-documented benefits of working in teams, teamwork also results in communication, coordination and management costs, and may lead to personal conflict between team members. In a context where teams play an increasingly important role, it is of major importance to understand conflict and to develop diagnostic tools to avert it. Here, we investigate empirically whether it is possible to quantitatively predict future conflict in small teams using parameter-free models of social network structure. We analyze data of conflict appearance and resolution between 86 team members in 16 small teams, all working in a real project for nine consecutive months. We find that group-based models of complex networks successfully anticipate conflict in small teams whereas micro-based models of structural balance, which have been traditionally used to model conflict, do not.
尽管团队合作的好处有案可稽，但团队合作也会导致沟通、协调和管理成本，并且可能导致团队成员之间的个人冲突。在团队扮演着越来越重要的角色的背景下，了解冲突并开发诊断工具来避免冲突至关重要。在这里，我们使用无参数的社交网络结构模型来实证研究是否可以使用定量方法来预测小型团队中的未来冲突。我们分析了 16 个小团队中的 86 名团队成员在连续 9 个月的一个实际项目中的冲突出现和解决的数据。我们发现，基于群体的复杂网络模型可以成功地预测小型团队中的冲突，而传统上用于建模冲突的基于微观的结构平衡模型则不能。
