Communities in world input-output network: Robustness and rankings.

ABSTRACT: We introduce a method for assessing the robustness of community detection and apply it to a world input-output network (WION) to obtain economically plausible results. This method enabled us to rank communities in the WION in terms of their robustness and stability. The algorithmic assignment variability index proposed in this study is shown to have predictive power in terms of forthcoming community rearrangement. We also provide several new approaches for identifying key economic communities. These approaches are based on the application of several centrality measures to a synthetic network in which nodes represent WION communities. Using these methods, we show that in 2000-2014, United States and Japan-centered communities demonstrated decreasing trends, while the importance of the China

SUBMITTER: Kireyev A 

PROVIDER: S-EPMC9037945 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature