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» Joint Community and Anomaly Tracking in Dynamic Networks
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TSP
2016
58views more  TSP 2016»
3 years 9 months ago
Joint Community and Anomaly Tracking in Dynamic Networks
Abstract—Most real-world networks exhibit community structure, a phenomenon characterized by existence of node clusters whose intra-edge connectivity is stronger than edge connec...
Brian Baingana, Georgios B. Giannakis
RAID
2010
Springer
8 years 11 months ago
Community Epidemic Detection Using Time-Correlated Anomalies
Abstract. An epidemic is malicious code running on a subset of a community, a homogeneous set of instances of an application. Syzygy is an epidemic detection framework that looks f...
Adam J. Oliner, Ashutosh V. Kulkarni, Alex Aiken
MASCOTS
2010
9 years 2 months ago
OnTimeDetect: Dynamic Network Anomaly Notification in perfSONAR Deployments
To monitor and diagnose bottlenecks on network paths used for large-scale data transfers, there is an increasing trend to deploy measurement frameworks such as perfSONAR. These dep...
Prasad Calyam, Jialu Pu, Weiping Mandrawa, Ashok K...
SBP
2011
Springer
8 years 8 months ago
Tracking Communities in Dynamic Social Networks
The study of communities in social networks has attracted considerable interest from many disciplines. Most studies have focused on static networks, and in doing so, have neglected...
Kevin S. Xu, Mark Kliger, Alfred O. Hero
ASUNAM
2010
IEEE
9 years 2 months ago
Tracking the Evolution of Communities in Dynamic Social Networks
Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying ...
Derek Greene, Dónal Doyle, Padraig Cunningh...
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