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.