Maximizing the Information Authenticity in a Social Network

Authors

Liu Ning, School of Information Technology and Management University of International Business and Economics, Beijing 100029, ChinaFollow
Yaodong Ni, School of Information Technology and Management University of International Business and Economics, Beijing 100029, China

Document Type

Article

Abstract

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.

Recommended Citation

Ning, Liu and Ni, Yaodong, "Maximizing the Information Authenticity in a Social Network" (2012). ICEB 2012 Proceedings (Xi'an, China). 16.
https://aisel.aisnet.org/iceb2012/16