文件名称：电子邮件在组织中作为光谱自动发现社区结构
文件大小：223KB
文件格式：PDF
更新时间：2016-05-05 06:18:37
Email Spectroscopy
We describe a methodology for the automatic identification of communities of practice from email logs within an organization. We use a betweenness centrality algorithm that can rapidly find communities within a graph representing information flows. We apply this algorithm to an email corpus of nearly one million messages collected over a two-month span, and show that the method is effective at identifying true communities, both formal and informal, within these scale-free graphs. This approach also enables the identification of leadership roles within the communities. These studies are complemented by a qualitative evaluation of the results in the field