Influencers Selection Model Using Association Rules

Abstract

Since social media users are on the rise, influential users play a crucial role in online social networks. As a result, social media influencers can be an effective marketing tool for brands. This study proposes a model for evaluating the associations between social media influencers based on association rules. In this paper, we propose an association rules model using FP growth algorithm (Frequent Pattern growth algorithm) to detect relationships between influential users and help bands to best select multiple influencers for their marketing campaigns.