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.
Ning, Liu and Ni, Yaodong, "Maximizing the Information Authenticity in a Social Network" (2012). ICEB 2012 Proceedings (Xi'an, China). 16.