Abstract for: Locality enhances consensus in opinion dynamics
Opinion dynamics is a multidisciplinary field that investigates how individual opinions shape society. Local connectivity is expected to affect macroscopic consensus, so a spatial parameter representing "globality" is introduced. The values of globality and confidence bound affect the threshold for reaching consensus. When the population reaches consensus, clusters appear and grow in size on the spatial opinion distribution. Polarization of opinion occurs without spatial polarization due to small confidence bounds and large globality. The exact cause and process of the nucleation phenomenon need to be investigated. Clustering algorithms and dimensionality reduction can be used to quantify and investigate clusters. Understanding these underlying dynamics of opinion formation contributes to a better understanding of systems thinking.