Simple user assistance by data posting

Big Data deeply changed both researchers and industries approaches to data management. This impressive amount of data contains a lot of information regarding user suggestions and searches. In this paper, we focus on the effect of user suggestions on its social environment. Suggestions are provided to user by means of simple rules that are defined on the basis of the data being analyzed. The above mentioned activity is crucial to perform efficient identification of users able to spread their influence across the network (influencer), which is a key activity in several scenarios like tourism promotion, personalized marketing, and entertainment suggestion. In this paper we address the reaction of users in a competitive environment when they were invited to judge each other choices.