Network construction for correct opinion sharing by selecting a curator agent

This paper proposes a novel network construction method that enables the agents (as nodes of its network) to share a correct opinion by selecting a certain agent (hereafter we call it the curator agent) who contributes to distributing a correct opinion in a high possibility. To investigate the effectiveness of the proposed method, this paper compares an accuracy of the correct opinion sharing of the conventional network construction method (i.e., Autonomous Adaptive Tuning: AAT) with that of the proposed method. Since AAT is hard to improve the accuracy of the agents' correct opinion in the small networks, this paper conducted the situation in in that size of networks and has revealed the following implications: (1) the curator agent enables the other agents to share a correct opinion without changing the network structure dynamically; (2) the accuracy of the correct opinion sharing in the proposed method is higher than that in the conventional method; and (3) the agents in the proposed method can share a correct opinion in a certain small network, while those in the conventional method cannot share it in the same network.