Opinion Alternating Model and Influence Factors Based on Naming Game

This paper proposes a modified version of opinion communication based on naming game to simulate the formation of opinion in real society. In the version, freshness is brought in to measure memory level of one opinion for each agent, when various opinions exist in social population. Main researches are devoted to new opinion replacing old opinion after system already convergences to an opinion, revealing that the new opinion is not easy to govern the whole network. Playing the new naming gaming on BA network, we explore validate the personal ability to accept new information, people number of accepting opinion for single transmission, frequency of publishing opinion for publisher and the number of publishers to enhance the efficiency of alternating opinion. Our methods help the effective opinion popularized timely in population.