英文标题：
《Topological data analysis and UNICEF Multiple Indicator Cluster Surveys》
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作者：
Jun Ru Anderson, Fahrudin Memic, Ismar Volic
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最新提交年份：
2020
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英文摘要：
  Multiple Indicator Cluster Surveys (MICS), supported by UNICEF, are one of the most important global household survey programs that provide data on health and education of women and children. We analyze the Serbia 2014-15 MICS dataset using topological data analysis which treats the data cloud as a topological space and extracts information about its intrinsic geometric properties. In particular, our analysis uses the Mapper algorithm, a dimension-reduction and clustering method which produces a graph from the data cloud. The resulting Mapper graph provides insight into various relationships between household wealth - as expressed by the wealth index, an important indicator extracted from the MICS data - and other parameters such as urban/rural setting, ownership of items, and prioritization of possessions. Among other uses, these findings can serve to inform policy by providing a hierarchy of essential amenities. They can also potentially be used to refine the wealth index or deepen our understanding of what it captures.
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中文摘要：
由联合国儿童基金会支持的多指标类集调查（MICS）是最重要的全球家庭调查项目之一，提供有关妇女和儿童健康和教育的数据。我们使用拓扑数据分析对塞尔维亚2014-15 MICS数据集进行分析，拓扑数据分析将数据云视为拓扑空间，并提取关于其内在几何特性的信息。特别是，我们的分析使用了Mapper算法，这是一种降维和聚类方法，可以从数据云生成图形。由此产生的映射图可以深入了解家庭财富与其他参数之间的各种关系，如城市/农村环境、物品所有权和财产优先级等。家庭财富由财富指数表示，财富指数是从多指标类集调查数据中提取的一个重要指标。在其他用途中，这些发现可以通过提供基本设施的层次结构来为政策提供信息。它们还可能被用来完善财富指数，或加深我们对它所反映的内容的理解。
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分类信息：

一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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