Influencer detection approaches in social networks: A current state-of-the-art

Consumers influence other consumers in several ways. Alghough there are different means of communication, the most popular and classical way to spread informatino is via Word of Mouth (WoM). Boosted by the difital context, the potential power of WoM has increased dramatically as well. However, nowadays, companies are still looking for new and improved approaches to identigy the most influential people in Social Networks. In this paper a literature review on approaches for influencer detection in social networks is conducted. The paper contributes with a comparison between the three most popular influenc er detection tools, with an analysis of their methods nad algorithms and with a list of proposed extending capabilities.