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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
13 years 9 months ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
ASUNAM
2010
IEEE
13 years 6 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...
RAID
2010
Springer
13 years 2 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
WEBI
2007
Springer
13 years 10 months ago
DENGRAPH: A Density-based Community Detection Algorithm
Detecting densely connected subgroups in graphs such as communities in social networks is of interest in many research fields. Several methods have been developed to find commun...
Tanja Falkowski, Anja Barth, Myra Spiliopoulou
IPPS
2008
IEEE
13 years 11 months ago
Adaptive and dynamic intrusion detection by means of idiotypic networks paradigm
—In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring vari...
Marek Ostaszewski, Pascal Bouvry, Franciszek Sered...