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Fluctuations in email size

机译:电子邮件大小的波动

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The purpose of this study is to explain fluctuations in email size. We have previously investigated the long-term correlations between email send requests and data flow in the system log of the primary staff email server at a university campus, finding that email size frequency follows a power-law distribution with two inflection points, and that the power-law property weakens the correlation of the data flow. However, the mechanism underlying this fluctuation is not completely understood. We collected new log data from both staff and students over six academic years and analyzed the frequency distribution thereof, focusing on the type of content contained in the emails. Furthermore, we obtained permission to collect "Content-Type" log data from the email headers. We therefore collected the staff log data from May 1, 2015 to July 31, 2015, creating two subdistributions. In this paper, we propose a model to explain these subdistributions, which follow log-normal-like distributions. In the log-normal-like model, email senders -consciously or unconsciously-regulate the size of new email sentences according to a normal distribution. The fitting of the model is acceptable for these subdistributions, and the model demonstrates power-law properties for large email sizes. An analysis of the length of new email sentences would be required for further discussion of our model; however, to protect user privacy at the participating organization, we left this analysis for future work. This study provides new knowledge on the properties of email sizes, and our model is expected to contribute to the decision on whether to establish upper size limits in the design of email services.
机译:本研究的目的是解释电子邮件大小的波动。我们先前已经调查了在大学校园的主要工作人员电子邮件服务器的系统日志中的电子邮件发送请求和数据流之间的长期相关性,发现电子邮件尺寸频率遵循具有两个拐点的幂律分布,而且Power-Law属性削弱了数据流的相关性。然而,这种波动的机制尚不完全理解。我们从六个学年的员工和学生收集了新的日志数据,并分析了其频率分布,专注于电子邮件中包含的内容类型。此外,我们获得了从电子邮件标题收集“内容类型”日志数据的权限。因此,我们从2015年5月1日到2015年7月31日,创建了两个分布式的员工日志数据。在本文中,我们提出了一种模型来解释这些分布措施,这些分布措施遵循日志正常的分布。在日志正常的模型中,电子邮件发件人 - 可根据正常分布根据正常分布,无意识地或无意识地调节新电子邮件句子的大小。该模型可以接受模型的拟合,并且该模型展示了大型电子邮件大小的幂律属性。对我们的模型进一步讨论,需要对新电子邮件句的长度进行分析;但是,为了保护参与组织的用户隐私,我们将此分析留下了未来的工作。本研究为电子邮件大小的属性提供了新的知识,我们的模型预计将有助于决定是否在电子邮件服务设计中建立大小限制。

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