论文标题
人口级社交网络的解剖结构
The anatomy of a population-scale social network
论文作者
论文摘要
大规模的人类社交网络结构通常是从在线社交媒体平台或移动通信数据的数字痕量样本中推断出来的。取而代之的是，我们在这里调查了一个完整人群的社交网络结构，那里的人们通过家庭，家庭，工作，学校和隔壁邻居的行政登记簿产生的高质量联系。我们通过网络分析中的三个共同概念来检查这种多层社会机会结构：学位，封闭和距离。调查结果表明，特定网络层如何有助于网络的无标度和小世界属性。此外，我们建议对过度关闭的新颖衡量标准，并将其应用于生命课程的角度，以展示个人的社会机会结构如何随着年龄，社会经济地位和教育水平而变化。我们的工作提供了新的入口点，以了解个人社会经济失败和成功以及不平等和隔离的持续社会问题。
Large-scale human social network structure is typically inferred from digital trace samples of online social media platforms or mobile communication data. Instead, here we investigate the social network structure of a complete population, where people are connected by high-quality links sourced from administrative registers of family, household, work, school, and next-door neighbors. We examine this multilayer social opportunity structure through three common concepts in network analysis: degree, closure, and distance. Findings present how particular network layers contribute to presumably universal scale-free and small-world properties of networks. Furthermore, we suggest a novel measure of excess closure and apply this in a life-course perspective to show how the social opportunity structure of individuals varies along age, socio-economic status, and education level. Our work provides new entry points to understand individual socio-economic failure and success as well as persistent societal problems of inequality and segregation.
