Mobile phones contain a wealth of private information, so we try to keep them secure. We provide large-scale evidence that the psychological profiles of individuals and their relations with their peers can be predicted from seemingly anonymous communication traces -- calling and texting logs that service providers routinely collect. Based on two extensive longitudinal studies containing more than 900 college students, we use point process modeling to describe communication patterns. We automatically predict the peer relationship type and temporal dynamics, and assess user personality based on the modeling. For some personality traits, the results are comparable to the gold-standard performances obtained from survey self-report data. Findings illustrate how information usually residing outside the control of individuals can be used to reconstruct sensitive information.

翻译：移动电话包含大量私人信息,因此我们试图确保它们的安全。我们提供了大量证据,证明个人心理特征及其与同龄人的关系可以从表面上匿名的通信踪迹 -- -- 服务提供者经常收集的电话和短信记录 -- -- 中预测。根据由900多名大学生组成的两项广泛的纵向研究,我们用点线进程模型来描述通信模式。我们自动预测同龄人关系类型和时间动态,并根据模型评估用户的个性。对于某些个性特征来说,其结果与调查自我报告数据取得的金质标准业绩相当。调查结果说明了通常不在个人控制范围的信息如何能够用于重建敏感信息。