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Spatializing social networks: Making space for theory in spatial analysis.

机译:空间化社交网络:在空间分析中为理论创造空间。

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摘要

This study is a quantitative and spatial analysis of the gang-related violence in a section of Los Angeles. Using data about the spatial distribution of gang violence in three neighborhoods of Los Angeles, this research first adopts a deductive approach to the spatial analysis of gang violence by spatial regression models that considers the relative location of the gangs in space while simultaneously capturing their position within a social network of gang rivalries. Several models are constructed and compared and the model that seems to best fit the observed geography of violence is one in which both the territorial geography and the social geography of the gangs is utilized in the autocorrelation matrix. Building on the findings of the spatial regression modeling, the concept of social position and associated techniques of structural equivalence in social network analysis is then explored as a means to integrate these different spatialities. The technique of structural equivalence uses the two different spatialities of embeddedness to identify gangs that are similarly embedded in the territorial geography and positioned in the rivalry network which aids in understanding the overall context of gang violence. The importance of theory to guiding spatial regression modeling is demonstrated by these findings and the hybrid spatial/social network analysis demonstrated here has promise beyond this one study of gang crime as it operationalizes spatialities of embeddedness in a way that allows simultaneous systematic evaluation of the way in which social actors’ position in network relationships and spatial settings provide constraints and possibilities upon their behavior.
机译:这项研究是对洛杉矶某地区与帮派有关的暴力行为的定量和空间分析。该研究使用有关洛杉矶三个街区的帮派暴力的空间分布数据,首先采用空间回归模型对派系暴力进行空间分析的演绎方法,该模型考虑了帮派在空间中的相对位置,同时捕获了他们在社区中的位置帮派竞争的社交网络。构建和比较了几种模型,并且似乎最适合所观察到的暴力地理区域的模型是一种在自相关矩阵中同时使用帮派的地域地理和社会地理区域的模型。基于空间回归模型的发现,然后探索社会网络分析中的社会地位概念和相关的结构等效技术,作为整合这些不同空间的一种手段。结构对等技术使用嵌入的两个不同空间来识别类似地嵌入到领土地理区域中并位于竞争网络中的帮派,这有助于了解帮派暴力的整体情况。这些发现证明了理论对指导空间回归建模的重要性,并且这里展示的混合空间/社会网络分析对这一帮派犯罪研究具有广阔的前景,因为它以一种可以同时对方法进行系统评估的方式来操作嵌入式空间。社会角色在网络关系和空间环境中的地位为其行为提供了约束和可能性。

著录项

  • 作者

    Radil, Steven Matthew.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Geography.;Sociology Criminology and Penology.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 186 p.
  • 总页数 186
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:44:18

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