量化电子邮件网络中的社交与反社交行为
Quantifying social vs. antisocial behavior in email networks
摘要：
电子邮件图已被用来说明通信和协作的社交网络的一般属性。然而，越来越多的电子邮件流量反映了机会主义，而不是共生的社会关系。在这里，我们使用电子邮件数据从一所大型大学，构建有向图的电子邮件交换，量化的社交和反社会行为之间的差异，在通信网络。我们发现，虽然其他社交网络的典型结构特征在很大程度上共享的合法组成部分，他们不是反社会流量的特点。有趣的是，机会主义行为模式确实会创建具有我们所识别的某些一般特征的非平凡图。为了补充图分析，这遭受不完整的知识领域外的用户，我们研究的时间模式的通信表明，电子邮件流量的动态特性，原则上，区分不同类型的社会关系。
英文摘要：
Email graphs have been used to illustrate general properties of social networks of communication and collaboration. However, increasingly, the majority of email traffic reflects opportunistic, rather than symbiotic social relations. Here we use e-mail data drawn from a large university to construct directed graphs of email exchange that quantify the differences between social and antisocial behaviors in networks of communication. We show that while structural characteristics typical of other social networks are shared to a large extent by the legitimate component they are not characteristic of antisocial traffic. Interestingly, opportunistic patterns of behavior do create nontrivial graphs with certain general characteristics that we identify. To complement the graph analysis, which suffers from incomplete knowledge of users external to the domain, we study temporal patterns of communication to show that the dynamical properties of email traffic can, in principle, distinguish different types of social relations.
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