With deepening cleavages on several social dimensions, social fragmentation has become a major concern across the social sciences. This article proposes a spatial approach to study the segregation pattern of acquaintanceship ties across multiple social dimensions simultaneously. A Bayesian unfolding model is developed and fitted to the 2006 General Social Survey. Results suggests that the segregation pattern of reported acquaintanceship ties reflect consolidated socioeconomic inequalities. Furthermore, among the 13 analyzed social groups, gay and lesbian people were the least segregated group in 2006, implying that individuals with very different network compositions had similar probabilities to know someone who is gay or lesbian. Lastly, contradicting previous findings that ideology and religiosity segregate acquaintanceship networks to an extent that rivals race, it is found that race stands out as the dominant dimension that shapes the distribution of these relationships.

中文翻译：

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隔离在社会空间：熟人网络的空间结构

随着几个社会维度的分歧不断加深，社会分裂已成为整个社会科学的一个主要问题。本文提出了一种空间方法来同时研究跨多个社会维度的熟人关系的隔离模式。开发了贝叶斯展开模型并适合 2006 年综合社会调查。结果表明，所报告的熟人关系的隔离模式反映了综合的社会经济不平等。此外，在所分析的 13 个社会群体中，同性恋者是 2006 年隔离程度最低的群体，这意味着网络构成差异很大的个体认识同性恋者的概率相似。最后，