组装thefacebook：使用异质性来理解在线社交网络组装
Assembling thefacebook: Using heterogeneity to understand online social network assembly
摘要：
在线社交网络代表社交媒体系统的流行且多样化的类别。尽管有这种多样性，但这些系统中的每一个都经历了在线社交网络组装的一般过程，这代表了将新生系统转变为成熟平台的复杂和异构的变化。然而，人们对这一过程知之甚少。例如，一个网络的组装有多少是由简单的增长驱动的？随着网络的成熟，其结构会发生怎样的变化？网络结构如何随着采用率和用户异质性而变化，这些属性在装配的不同点上扮演不同的角色？我们使用一个独特的在线连接数据集来调查这些问题和其他问题，这些数据集来自Facebook首批100所大学的大约100万用户，这些用户在Facebook推出后仅20个月就被捕获。我们首先表明，不同的年份和采用率在这个人口的网络揭示了时间动态的组装过程中，组装只是松散地与网络的增长。然后，我们利用嵌入在这个数据集中的自然实验和通过互联网考古学获得的补充数据，表明不同的子网络以不同的速度成熟到类似的最终状态。这些结果揭示了在线社会网络组装的过程和模式，并可能促进更有效的在线社会系统的设计。
英文摘要：
Online social networks represent a popular and diverse class of social media systems. Despite this variety, each of these systems undergoes a general process of online social network assembly, which represents the complicated and heterogeneous changes that transform newly born systems into mature platforms. However, little is known about this process. For example, how much of a network's assembly is driven by simple growth? How does a network's structure change as it matures? How does network structure vary with adoption rates and user heterogeneity, and do these properties play different roles at different points in the assembly? We investigate these and other questions using a unique dataset of online connections among the roughly one million users at the first 100 colleges admitted to Facebook, captured just 20 months after its launch. We first show that different vintages and adoption rates across this population of networks reveal temporal dynamics of the assembly process, and that assembly is only loosely related to network growth. We then exploit natural experiments embedded in this dataset and complementary data obtained via Internet archaeology to show that different subnetworks matured at different rates toward similar end states. These results shed light on the processes and patterns of online social network assembly, and may facilitate more effective design for online social systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
