New Domains For Structural Analysis: Reformulating standard data analysis as structural analysis

Joel H. Levine

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New Domains For Structural Analysis: Reformulating standard data analysis as structural analysis

机译：结构分析的新领域：将标准数据分析重新构造为结构分析

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Can network thinking be extended to the broad range of social organization conventionally studies by sociologists? Applying structural thinking to American election data, it is possible to detect a social-economic hierarchy solely from the links among categories, without reference to external numerical indicators of rank. It is possible to detect and verify sensible and suggestive relative social positions for categories of income, education, gender, age, religion, race, party identification, and region - forming correlated hierarchies. The special contribution of the structural analysis is its simultaneous attention to detail and the overview of links, coupled with less dependence on a priori assumptions.

机译：网络思维能否扩展到社会学家常规研究的广泛社会组织范围？将结构性思维应用于美国大选数据，有可能仅从类别之间的联系检测社会经济等级，而无需参考外部等级数字指标。可以检测和验证与收入，教育，性别，年龄，宗教，种族，政党认同和区域形成相关的等级类别相关的明智和暗示的相对社会地位。结构分析的特殊贡献是它同时关注细节和链接概述，并且对先验假设的依赖性降低。

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来源
《Information Communication & Society》 |2013年第4期|613-629|共17页
作者
Joel H. Levine;
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作者单位

Mathematical Social Sciences, Dartmouth College, HB6104, Hanover NH 03755, UK;

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原文格式 PDF
正文语种 eng
中图分类
关键词
research methodology; social networking; sociology; stratification; elections;

机译：研究方法论;社交网络;社会学;分层;选举;

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New Domains For Structural Analysis: Reformulating standard data analysis as structural analysis

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