摘要翻译：
在本研究中，我们根据我们的用例，即观察一个社会中的社会流动模式，得出了一个封闭的网络向量分类度量表达式。基于经济学文献中关于社会流动的研究和社会学文献中关于社会再生产的研究，我们提出构建一个职业网络结构来观察流动模式。在现有文献的基础上，我们将流动性定义为根据性别、地理或社会群体等类别的表示来归因于职业的多样性。我们根据NSSO关于就业和失业的第68轮，比较了在印度背景下我们的向量分类度量和平均标量分类的结果。我们的发现表明，我们的向量分类度量所指示的趋势与平均标量分类指数所指示的趋势非常相似。我们讨论了这项工作的一些意义，并提出了未来的方向。
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英文标题：
《Occupational Network Structure and Vector Assortativity for illustrating
patterns of social mobility》
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作者：
Vinay Reddy Venumuddala
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最新提交年份：
2020
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分类信息：

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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一级分类：Statistics 统计学
二级分类：Applications 应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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英文摘要：
In this study we arrive at a closed form expression for measuring vector assortativity in networks motivated by our use-case which is to observe patterns of social mobility in a society. Based on existing works on social mobility within economics literature, and social reproduction within sociology literature, we motivate the construction of an occupational network structure to observe mobility patterns. Basing on existing literature, over this structure, we define mobility as assortativity of occupations attributed by the representation of categories such as gender, geography or social groups. We compare the results from our vector assortativity measure and averaged scalar assortativity in the Indian context, relying on NSSO 68th round on employment and unemployment. Our findings indicate that the trends indicated by our vector assortativity measure is very similar to what is indicated by the averaged scalar assortativity index. We discuss some implications of this work and suggest future directions.
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