论文标题
网络中的社会分层：共同创作网络的见解
Social Stratification in Networks: Insights from Co-Authorship Networks
论文作者
论文摘要
已经观察到，现实世界中的社交网络经常沿经济或其他线路表现出分层，这对阶级流动性和机会的机会产生了影响。随着人类互动数据的增加和在线社交网络的广泛使用，社交网络的结构（表示个人之间的联系）可用于衡量分层。但是，尽管在社会科学中对分层进行了广泛的研究，但是没有单一的，通常适用于测量网络中分层水平的指标。 在这项工作中，我们首先提出了新的分层分类性（STA）度量，该度量衡量网络分层为不同层的程度。然后，我们使用\ texttt {sta}度量来对五个共同授权网络的分层进行深入分析。我们检查了这些网络在50年内的演变，并表明这些领域表明了随着时间的流逝的分层越来越高，并且相应地，研究人员职业的轨迹与她进入网络的切入点越来越相关。
It has been observed that real-world social networks often exhibit stratification along economic or other lines, with consequences for class mobility and access to opportunities. With the rise in human interaction data and extensive use of online social networks, the structure of social networks (representing connections between individuals) can be used for measuring stratification. However, although stratification has been studied extensively in the social sciences, there is no single, generally applicable metric for measuring the level of stratification in a network. In this work, we first propose the novel Stratification Assortativity (StA) metric, which measures the extent to which a network is stratified into different tiers. Then, we use the \texttt{StA} metric to perform an in-depth analysis of the stratification of five co-authorship networks. We examine the evolution of these networks over 50 years and show that these fields demonstrate an increasing level of stratification over time, and, correspondingly, the trajectory of a researcher's career is increasingly correlated with her entry point into the network.
