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KDD
2007
ACM
155views Data Mining» more  KDD 2007»
16 years 7 months ago
A framework for community identification in dynamic social networks
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...
BROADNETS
2006
IEEE
16 years 1 months ago
Traffic Grooming Techniques in Optical Networks
: With the increase of the number of wavelengths per fiber waveband switching has been proposed to decrease the number of switching ports in optical nodes. Another concept that of ...
Yabin Ye, Hagen Woesner, Imrich Chlamtac
WWW
2007
ACM
16 years 8 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
PODC
1990
ACM
15 years 11 months ago
Sharing Memory Robustly in Message-Passing Systems
Emulators that translate algorithms from the shared-memory model to two different message-passing models are presented. Both are achieved by implementing a wait-free, atomic, singl...
Hagit Attiya, Amotz Bar-Noy, Danny Dolev
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
14 years 2 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson