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
复制
发表时间:
2021-11
期刊:
ACM Transactions on Data Science
影响因子:
--
通讯作者:
Hai Jin
Hai Jin
中科院分区:
其他
文献类型:
--
作者:
Hong Huang;Mingyuan Chi;Yu Song;Hai Jin

文献摘要

参考文献

相似文献

世界银行或其他组织发布的世界指标通常提供有关世界的基本公众知识。然而,单独的、静态的指标缺乏不同指标之间复杂的相互作用,因此不能帮助我们对世界有一个全面的了解。为此,我们从不同的角度研究世界指标。首先,我们发现,无论是从静态角度还是从动态角度,指标之间都存在相关性。此外,考虑到贸易和外交关系,我们构建了一个多关系网络来描述不同国家之间的互动,并提出了一个多关系向量(MR2vec)模型来研究从网络的角度来看世界指标。实验结果表明,该模型对世界指标的变化具有较好的预测能力,对多关系网络的预测具有较强的适应性.
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.
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
DOI: 10.1162/089976600300015015
发表时间: 2000-10-01
期刊: NEURAL COMPUTATION
影响因子: 2.9
作者:
Gers, FA;Schmidhuber, J;Cummins, F
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
DOI: 10.2139/ssrn.1295610
发表时间: 2008-11
影响因子: 22.7
作者:
G. Szabó;B. Huberman
通讯作者: G. Szabó;B. Huberman
DOI: 10.1145/279232.279236
发表时间: 1997-12-01
影响因子: 2.7
作者:
Zhu, CY;Byrd, RH;Nocedal, J
通讯作者: Nocedal, J