Analyzing and Predicting Meetup Mobs Outcome Via Statistical Analysis and Deep Learning

We refer to a “mob” as an event that is organized via social media, email, SMS, or other forms of digital communication technologies in which a group of people (who might have an agenda) get together online or offline to collectively conduct an act and then disperse (quickly or over a long period). To an outsider, such an event may seem arbitrary. However, a sophisticated amount of coordination is involved. Meetup.com is an “Event-Based Social Network" (EBSN) focused on bringing like-minded people together. Meetup hosts a wide range of events, making it crucial and well-suited for studying various events in general and mobs in particular. In this research, we collected data from Meetup and employed statistical analysis to help us better understand the data. Additionally, we utilized a deep neural network-based method to create two classifiers capable of predicting the Meetup mob outcome (success or failure) with great accuracy.