Document Type



Information often distorts during the process of transmission in a social network, which is very common in many real-life applications. In this paper, we study the problem of maximizing the information authenticity of a social network. We propose a new model to characterize information distortion during the diffusion of influence. In order to trade off between optimality and complexity, we design a framework of greedy algorithms. Finally, we carry out a numerical experiment to show the effectiveness of the proposed algorithms.