论文标题
多主体集成迁移指标的数据集
Dataset of Multi-aspect Integrated Migration Indicators
论文作者
论文摘要
如今，新的研究分支正在提议使用非传统数据源来研究迁移趋势，以便找到一种原始方法来回答有关人类流动性框架的开放问题。在这种情况下，我们介绍了多种综合迁移指标（MIMI）数据集，这是迁移驱动因素的新数据集，这是由于收购，转换和合并的过程以及有关国际流量和股票的官方数据的过程，以及诸如在线社交网络之类的官方流量和股票以及原始指标以及原始指标的官方数据。这项工作描述了收集，嵌入和合并传统和新颖特征的过程，从而产生了这个新的多学科数据集，我们认为这些数据集可以极大地促进预测现在和未来的双边迁移趋势。
Nowadays, new branches of research are proposing the use of non-traditional data sources for the study of migration trends in order to find an original methodology to answer open questions about the human mobility framework. In this context we presents the Multi-aspect Integrated Migration Indicators (MIMI) dataset, an new dataset of migration drivers, resulting from the process of acquisition, transformation and merge of both official data about international flows and stocks and original indicators not typically used in migration studies, such as online social networks. This work describes the process of gathering, embedding and merging traditional and novel features, resulting in this new multidisciplinary dataset that we believe could significantly contribute to nowcast to forecast both present and future bilateral migration trends.
