Node level regression for collaboration tie degrees.

Note. Standardized Coefficients reported, *p<.05, **p<.01, ***p<.001. The node level regression models were performed using 20.000 random permutation. The most important academic titles within the Romanian higher education system are those of a ‘Professor’ and ‘Associate Professor’ (in Romanian ‘Conferentiar’). In our regression models, we created dummy variables for both titles. We also created a dummy aggregated variable called ‘Prestige’, where an ego has 1 if Professor or Associate Professor, and 0 otherwise.
Node level regression for collaboration tie degrees.

注：本研究报告标准化回归系数，*p<.05，**p<.01，***p<.001。
节点级回归模型采用20000次随机置换检验。
罗马尼亚高等教育体系中最重要的学术职称分别为"教授"（Professor）与"副教授"（Associate Professor，罗马尼亚语对应表述为"Conferentiar"）。
在本研究的回归模型中，我们为这两类职称均构建了虚拟变量。
此外，我们还构建了一个名为"学术声望"（Prestige）的汇总虚拟变量：若某一行动者（ego）的职称为教授或副教授，则赋值为1，否则赋值为0。
合作联结度数的节点级回归分析。