Northeastern University Instagram Followers Analysis

This research uses social computing data collection and methods to analyze the degree of interconnection between followers of the official Northeastern University Instagram account, with the goal being to discover unique individuals Northeastern could adjust marketing for and to discover important connections existing between Northeastern’s followers and student population. Analysis of a network graph representing these connections identifies key network characteristics, such as the connections to hierarchies, corporate profiles, and specific student class years. This research could be applied to help Northeastern with marketing content by finding influential corporate partners to publish with and by finding influential student groups.