论文标题
使用霍克斯流程从社交网络中的电信历史上预测关系标签和个人个性特征
Predicting Relationship Labels and Individual Personality Traits from Telecommunication History in Social Networks using Hawkes Processes
论文作者
论文摘要
手机包含大量私人信息，因此我们试图确保它们的安全。我们提供大规模的证据表明，可以通过看似匿名的沟通痕迹来预测个人及其与同龄人的关系的心理概况 - 呼叫和发短信的日志，服务提供者通常会收集。基于两项包含900多名大学生的广泛纵向研究，我们使用点过程建模来描述沟通模式。我们会自动预测同伴关系类型和时间动态，并根据建模评估用户个性。对于某些人格特征，结果与从调查自我报告数据中获得的金标准性能相当。调查结果说明了通常驻留在个人控制之外的信息如何用于重建敏感信息。
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.
