Distribution Patterns of Cyberbullying in Social Media using Social Network Analysis

Social media, widely known by the public, has become one of the tools to facilitate written expressions in daily life. The adoption individuals from various backgrounds use this technology, ranging from children, adolescents, adults, and the elderly. Social media positively influences human life, but various parties can also misuse it with harmful desires. One example of adverse treatment on social media is cyberbullying, which is now no longer a stranger in social life. In this research, the Social Network Analysis method is chosen to identify the distribution patterns of cyberbullying on social media. This method is used to analyze the required metrics such as indegree centrality, outdegree centrality, betweenness centrality, and reciprocity to understand the reasons for the spread of an event. This study has understood the distribution patterns of cyberbullying actions on social media by looking at communication between users and their relationships to find out the reasons for the perpetrators of cyberbullying actions. This result significantly impacts the community by better understanding the procedures in social media to avoid other users' bad behavior.