Determine the structure of relationships between family members based on personality factors (network data analysis method)

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 depicted based on the data using network analysis technique and Fraterman-Reingold algorithm with qgraph and bootnet in software R. This pattern represented that between the subscales of personality, extraversion of the highest centrality, neuroticism had the highest negative connection and openness to experience had the least connection with other subscales. Conscientiousness-agreeableness had the most positive relationship and neuroticism-extraversion had the most negative relationship with each other.