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Data Sci."],"published-print":{"date-parts":[[2021,11,30]]},"abstract":"<jats:p>The world indicators released by the World Bank or other organizations usually give the basic public knowledge about the world. However, separate and static index lacks the complex interplay among different indicators and thus cannot help us have an overall understanding of the world. To this end, we study the world indicators from a different angle. Firstly, we discover that there exist correlations between indicators either from a static view or from a dynamic view. Moreover, taking the trade and diplomatic relationships into consideration, we construct a multi-relational network to depict the interactions between different countries, and propose a\u00a0Multiple Relations to Vector (MR2vec) model to study world indicators from a network perspective. 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