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» Discovering communities in complex networks
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TKDE
2008
125views more  TKDE 2008»
13 years 8 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
FCSC
2007
130views more  FCSC 2007»
13 years 8 months ago
An improved algorithm for finding community structure in networks with an application to IPv6 backbone network
The discovery of community structure in a large number of complex networks has attracted lots of interest in recent years. One category of algorithms for detecting community struct...
Yingxin Guo, Ke Xu
ICML
2007
IEEE
14 years 9 months ago
Graph clustering with network structure indices
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
Matthew J. Rattigan, Marc Maier, David Jensen
ICC
2008
IEEE
126views Communications» more  ICC 2008»
14 years 2 months ago
Discovering Packet Structure through Lightweight Hierarchical Clustering
— The complexity of current Internet applications makes the understanding of network traffic a challenging task. By providing larger-scale aggregates for analysis, unsupervised ...
Abdulrahman Hijazi, Hajime Inoue, Ashraf Matrawy, ...
ICWSM
2008
13 years 9 months ago
Competing to Share Expertise: The Taskcn Knowledge Sharing Community
"Witkeys" are websites in China that form a rapidly growing web-based knowledge market. A user who posts a task also offers a small fee, and many other users submit thei...
Jiang Yang, Lada A. Adamic, Mark S. Ackerman