多方面综合移民指标数据集(MIMI)

多方面综合移民指标数据集(MIMI)是由比萨大学计算机科学系创建的一个新型数据集，旨在通过整合传统和非传统数据源，如官方国际流动和存量数据以及在线社交网络等，来研究移民趋势。该数据集包含超过28,000条记录和480个不同特征，涵盖了254个国家的移民特征和Facebook社交连接强度。MIMI数据集的创建过程涉及数据的收集、嵌入和合并，以及与社会经济变量的结合，以期对当前和未来的双边移民趋势进行预测。该数据集的应用领域广泛，包括人口学、社会学和经济学等多个研究领域，旨在通过分析各种驱动因素与移民趋势的关系，构建一个全面的移民趋势理解框架。

The Multidimensional Integrated Migration Indicator Dataset (MIMI) is a novel dataset developed by the Department of Computer Science at the University of Pisa. It is designed to study migration trends by integrating both traditional and non-traditional data sources, such as official international migration flow and stock data, as well as online social networks. This dataset contains over 28,000 records and 480 distinct features, covering migration characteristics and Facebook social connection strengths across 254 countries. The development process of the MIMI dataset involves data collection, embedding, integration, and combination with socioeconomic variables, with the objective of forecasting current and future bilateral migration trends. This dataset has broad applications across multiple research fields including demography, sociology, and economics, and aims to construct a comprehensive framework for understanding migration trends by analyzing the relationship between various driving factors and migration trends.

搜集汇总

背景与挑战

背景概述

多方面综合移民指标数据集(MIMI)是由比萨大学计算机科学系创建的综合性数据集，整合了官方移民数据和Facebook社交网络等非传统数据源，包含超过28,000条记录和480个特征，覆盖254个国家的移民特征和社交连接强度。该数据集旨在通过数据合并与社会经济变量结合，预测双边移民趋势，并应用于人口学、社会学和经济学等多个研究领域，以构建全面的移民趋势分析框架。