This quantitative study, based on a computerized corpus of texts written by five men in early 16th-century Nuremberg, employs multivariate GLM statistical procedures to analyze the way linguistic, social and stylistic factors work individually and in interaction to influence variation observed in the texts. Over 70,000 tokens of variable consonants sets were analyzed, using network analysis as an alternate approach to quantification of relevant social identities, which allowed focus on individual behavior without discarding the analysis of group behaviors.The study provides evidence that conso