Analyzing the Evolution of Interdisciplinary Areas

Recently, various new areas of research have been great interest to researchers. As these are highly based on academic and industrial needs, it is necessary examine the change evolution in research. This study proposed a framework for identifying emerging their evolution. The suggests that latent Dirichlet allocation applied identify topics networks such interdisciplinary areas. simulation empirical network analysis was then identified topic terminate continuous smart city, which one most fast-evolving These findings indicate transportation grids likely be focus. also newly may lack openness diversity. contributes further investigate trends planning strategies