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ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
14 years 3 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
WWW
2007
ACM
14 years 9 months ago
Finding community structure in mega-scale social networks: [extended abstract]
[Extended Abstract] Ken Wakita Tokyo Institute of Technology 2-12-1 Ookayama, Meguro-ku Tokyo 152-8552, Japan wakita@is.titech.ac.jp Toshiyuki Tsurumi Tokyo Institute of Technolog...
Ken Wakita, Toshiyuki Tsurumi
CHI
2009
ACM
14 years 9 months ago
Amplifying community content creation with mixed initiative information extraction
Although existing work has explored both information extraction and community content creation, most research has focused on them in isolation. In contrast, we see the greatest le...
Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fe...
CCS
2009
ACM
14 years 9 months ago
Automatic discovery of botnet communities on large-scale communication networks
Botnets are networks of compromised computers infected with malicious code that can be controlled remotely under a common command and control (C&C) channel. Recognized as one ...
Wei Lu, Mahbod Tavallaee, Ali A. Ghorbani
ATAL
2006
Springer
14 years 6 days ago
Using CHI-scores to reward honest feedback from repeated interactions
Online communities increasingly rely on reputation information to foster cooperation and deter cheating. As rational agents can often benefit from misreporting their observations,...
Radu Jurca, Boi Faltings