Mining World Indicators for Analyzing and Modeling the Development of Countries
Mining World Indicators for Analyzing and Modeling the Development of Countries
复制标题
挖掘世界指标以分析和建模国家发展
DOI:
10.1145/3488059
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发表时间:
2021-11
期刊:
影响因子:
--
通讯作者:
Hai Jin
中科院分区:
文献类型:
--
作者:
Hong Huang;Mingyuan Chi;Yu Song;Hai Jin
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 Multiple Relations to Vector (MR2vec) model to study world indicators from a network perspective. The experimental results show the changes of world indicators are predictable with the proposed model, and our proposed MR2vec has wide adaptability in predicting multi-relation networks.
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DOI:
10.1145/2939672.2939754
发表时间:
2016-08
期刊:
KDD : proceedings. International Conference on Knowledge Discovery & Data Mining
影响因子:
--
作者:
Grover A;Leskovec J
通讯作者:
Leskovec J
影响因子:
2.9
作者:
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通讯作者:
Cummins, F
DOI:
10.1103/physreve.92.022807
发表时间:
2015-02
期刊:
Physical review. E, Statistical, nonlinear, and soft matter physics
影响因子:
--
作者:
Fragkiskos Papadopoulos;D. Krioukov
通讯作者:
Fragkiskos Papadopoulos;D. Krioukov
影响因子:
22.7
作者:
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通讯作者:
G. Szabó;B. Huberman
影响因子:
2.7
作者:
Zhu, CY;Byrd, RH;Nocedal, J
通讯作者:
Nocedal, J