Influential Actors Detection Using Attractiveness Model in Social Media Networks

Detection of influential actors in social media such as Twitter or Facebook can play a major role in improving the marketing efficiency, gathering opinions on particular topics, predicting the trends, etc. The current study aspires to extend our formal defined T measure to present a new measure aiming to recognize the actors influence by the strength of attracting new attractors into a networked community. Therefore, we propose a model of an actor influence based on the attractiveness of the actor in relation to the number of other attractors with whom he/she has established connections over time. Using an empirically collected social network for the underlying graph, we have applied the above-mentioned measure of influence in order to determine optimal seeds in a simulation of influence maximization.