The topic of gangs relates to social studies because gang structure and influence have an impact on how people go about their day, even in cyber space. Also gang members themselves use social media to promote themselves, which can be used to find their location or crimes they committed. Gang studies often use location-based approaches to explain gang members’ interconnectedness. This study collects Twitter data to analyze the geospatial distribution of gang member connections using an exponential random graph model (ERGM) of location homophily. An ERGM analyzes network substructures to determine the patterns of relationships between vertices. Gang members with a lack of cyber awareness could unknowingly reveal pertinent information about themselves or their gang via social media. Many gangs in lower socio-economic areas tend to form out of minority groups, showing different cultures and values. The results of this study support the proximity principle but challenge the assertion that gangs are strictly localized. The article is at this link –> https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/17/8