Network data analysis application in family distance according to personality dimensions (NEO)

The purpose of this study Network data analysis application in family distance according to personality dimensions (NEO). Network analysis is a powerful method for analyzing communications between network members, which is a personality dimension and a graphical representation of matrix data. This research is a correlation study. In this research, which used cluster random sampling, 130 families with girls aged 11 to 20 from districts 1 and 3 of Tehran were chosen. The NEO Personality traits Inventory was used for data collection. The communication network was drawn based on the data using network analysis technique and Fraterman-Reingold algorithm with qgraph and bootnet in software R. The patterns that, among the personality scores, extraversion has the highest centrality and neuroticism with the highest negative centrality. The openness has the least relation with other subscales. ConscientiousnessAgreeableness had the most positive correlation and neuroticism- extraversion had the most negative relationship with each other.