Ike Net: Email and Friendship Evolution

I. McCulloh
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Abstract

Abstract Network evolution is an important problem for social scientists, management consultants, and social network scholars. Unfortunately, few empirical data sets exist that have sufficient data to fully explore evolution dynamics. Increasingly, more and more online data sets are used in lieu of offline, face-to-face data. The veracities of these findings are questionable, however, because there are few studies exploring the similarity of online-offline dynamics. The IkeNet project investigated online and offline network evolution. Empirical data was collected on a group of 22 mid-career military officers going through a one-year graduate program. Data collection included email communication collected from the Exchange server, as well as self-reported friendship, and time spent together, over a course of 20 weeks. Numerous attribute data on the individual actors was collected from their military personnel files. The data allows network scholars to conduct research into the dynamics of network evolution and allows educators a real-world example data set for use in classroom instruction.
Ike Net:电子邮件和友谊的演变
网络演化是社会科学家、管理顾问和社会网络学者关注的重要问题。不幸的是,很少有经验数据集存在,有足够的数据来充分探索进化动力学。越来越多的在线数据集被用来代替线下面对面的数据。然而,这些发现的真实性值得怀疑,因为很少有研究探索线上线下动态的相似性。IkeNet项目调查了线上和线下网络的演变。实证数据收集了一组22名职业中期军官,他们正在进行为期一年的研究生课程。数据收集包括从Exchange服务器收集的电子邮件通信,以及自我报告的友谊和在一起的时间,在20周的过程中。从他们的军事人事档案中收集了关于个别行动者的许多属性数据。这些数据使网络学者能够对网络演变的动态进行研究,并使教育者能够在课堂教学中使用真实世界的示例数据集。
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