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Spatializing the Social Networks of Gangs to Explore Patterns of Violence

机译:空间化帮派的社交网络以探索暴力模式

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The majority of spatial studies of crime employ an inductive approach in both the modeling and interpretation of the mechanisms of influence thought to be responsible for the patterning of crime in space and time. In such studies, the spatial weights matrix is specified without regard to the theorized mechanisms of influence between the units of analysis. Recently, a more deductive approach has begun to gain traction in which the theory of influence is used to model influence in geographic space. Using data from Los Angeles, we model the spatial distribution of gang violence by considering both the relative location of the gangs in space while simultaneously capturing their position within an enmity network of gang rivalries. We find that the spatial distribution of gang violence is more strongly associated with the socio-spatial dimensions of gang rivalries than it is with adjacency-based measures of spatial autocorrelation.
机译:大多数犯罪的空间研究都采用归纳法对影响机制进行建模和解释,而这种影响机制被认为是造成时空上犯罪模式的原因。在这样的研​​究中,指定空间权重矩阵时不考虑分析单位之间影响的理论化机制。近来,一种更具演绎性的方法开始受到关注,在这种方法中,影响理论用于对地理空间中的影响进行建模。使用来自洛杉矶的数据,我们通过考虑帮派在太空中的相对位置,同时捕获帮派在敌对对抗网络中的位置,来模拟帮派暴力的空间分布。我们发现,与基于邻接的空间自相关度量相比,帮派暴力的空间分布与帮派竞争的社会空间维度更紧密相关。

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