Longitudinal Social Network Studies and Predictive Social Cohesion Theory

该项目重新分析了来自18个人类学田野遗址的社会网络数据和对社会关系集的历史研究，涉及美国和外国大学的合作者和学生网络。正式的概念，如双连通性-多连接参与者的集合-被定义为社会网络，并在现有的数据集中进行分析。对于特定的社会关系集，假设多个连接的行动者集具有更大的凝聚力，正如可测量的行为标准所表达的那样。双成分成员被假设比其他人享有更多的社会资本。该项目将培训一大批国际合作者，以双组分网络社会关系的性质和影响为中心，研究一套协调一致的分析主题。该研究的意义在于，研究人员将能够预测社会制度的发展，群体中社会变化的可能性，分裂的影响，以及该项目将培养一组研究人员和高级学生的定量分析技术，这些技术对广泛的社会分析有用。将在巴黎、科隆、马德里以及可能在墨西哥召开讲习班，以发展和协调这些方法。

9978282White This project reanalyzes data on social networks from 18 anthropological field sites and historical studies of sets of social relationships, involving a network of collaborators and students in US as well as foreign universities. Formal concepts such as biconnectedness - sets of multiply connected actors - are defined for social networks and analyzed in extant data sets. For specified sets of social relations multiply connected sets of actors are hypothesized to have greater cohesiveness, as expressed in measurable behavioral criteria. Bicomponent members are hypothesized to enjoy more social capital than others. The project will train a large international set of collaborators to work on a coordinated set of analytical themes centered on the nature and impact of bicomponent network social relationships. The significance of the research is that the researchers will be able to predict the development of social institutions, the likeliness of social change in groups, the impact of divisiveness, and the fact that the project will train a set of researchers and advanced students in a quantitative analytic technique useful for a wide range of social analysis. Workshops will be convened in Paris, Cologne, Madrid, and possibly Mexico to develop and coordinate the methods.