Multi-agent based research of centralized false information discerning model of micro-blog network

As a newly popularized online social network, micro-blog has been facilitating numerous social interactions and communications in our daily life. Websites serving as micro-blog share certain characteristics of scale-free network with a fractal dimension macroscopically, and a faster spread of information has emerged by the hand of the least entropy generation principle through this complex system. False information, however, has impacted this new form of media to a noticeable extent. This paper is thus dedicated to finding the best way to discern false information amid the classical methods, a directed scale-free network is realized, whence a Micro-blog Central False information Discerning Model (MCFDM) including six different combinations of three user levels is proposed. After analyzing the outputs from Multi-Agent simulations on NetLogo, a constructive assessment of various methods will be conclusively rendered.