A multi-user perspective for personalized email communities
详细信息 查看全文
- 作者：Waqas Nawaza ; b ; w.nawaz@innopolis.ru" class="auth_mail" title="E-mail the corresponding author ; Kifayat-Ullah Khana ; kualizai@khu.ac.kr" class="auth_mail" title="E-mail the corresponding author ; Young-Koo Lee ; a ; yklee@khu.ac.kr" class="auth_mail" title="E-mail the corresponding author ; w.nawaz@innopolis.ru" class="auth_mail" title="E-mail the corresponding author ; wicky786@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Graph clustering ; Community detection ; Collaborative similarity ; K-Medoid clustering ; Entropy ; Density ; F-measure ; Personalized ; Multi-user ; Email network ; Social media ; PI-Net
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：15 July 2016
- 年：2016
- 卷：54
- 期：Complete
- 页码：265-283
- 全文大小：5132 K
文摘
- •
We introduced the notion of multi-user personalized email communities.
- •
We provide the evolution of communities in terms of network properties.
- •
It helps email strainer, group prediction, and fraudulent account detection.
- •
It has the potential to be integrated with online email visualization tools.
- •
To approximate the entire network communities with restricted information.