Dynamic Analysis of Verbal Aggressiveness Networks in School

Abstract

Aim of this study is to detect structures of verbal aggressiveness network and also reveal changes through time. Standardized questionnaires have been distributed to 168 students and 8 teachers at secondary schools in 2017. We performed complete social networks analysis and further processing by conventional statistics. According to the results, density could be a first indicator of verbal aggressiveness existence. The verbal aggressiveness seems to become denser through time. Most ties are asymmetric and only a small amount becomes mutual. Thus, inequality appears. Verbal aggressors seem to target more than one victim and use all forms of verbal aggression. Triad analysis can disclose elementary “sources of verbal aggressiveness”. More verbal aggression ties are added than deleted over time.