In this paper we describe a methodology for measuring the influence and impact of Twitter accounts, by combining their activity, social degree and disseminated content. Experimental results show that the accuracy of our methodology is comparable to an established commercial service, while the distribution of the assigned influence values and their properties are described by power law distributions. © 2019 IEEE