Spatial-temporal variations and trends of Internet users: assessment from global perspective

Abstract

This study investigated the spatial-temporal variation and trend of the Internet user percentage (IUP) at the country level in the world from 1996 to 2017. Several methods were applied including kernel density estimation, global autocorrelations, sigma-convergence detection, and hierarchical clustering. The results demonstrated that the spatial distribution of IUP at the country level showed significant positive autocorrelations indicating clustered spatial patterns rather than dispersed or random distributions. In addition, the temporal variation of the distribution disparity of IUP showed a decreasing trend at the country level during the study period. Further, sigma convergence of IUP during this period was detected according to the coefficient of variation. Last, the similarity of the IUP variation at the country level presented the spatial clustering feature with spatially contiguous countries in the world. In sum, the finding in this study indicated that Internet penetration may show the promotion of the balanced development trend over time in the world and the spatial characteristics of Internet development should be considered in the future policy globally.