ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Mining knowledge-sharing sites for viral marketing
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Criminal network analysis and visualization
Communications of the ACM - 3d hard copy
Vizster: Visualizing Online Social Networks
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
TopoLayout: Multilevel Graph Layout by Topological Features
IEEE Transactions on Visualization and Computer Graphics
Systematic yet flexible discovery: guiding domain experts through exploratory data analysis
Proceedings of the 13th international conference on Intelligent user interfaces
Mining Mobility Behavior from Trajectory Data
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Anomaly Detection in Dynamic Social Systems Using Weak Estimators
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Predicting Interests of People on Online Social Networks
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Learning influence probabilities in social networks
Proceedings of the third ACM international conference on Web search and data mining
You are who you know: inferring user profiles in online social networks
Proceedings of the third ACM international conference on Web search and data mining
Suggesting friends using the implicit social graph
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
On the quality of inferring interests from social neighbors
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
A predictive model for the temporal dynamics of information diffusion in online social networks
Proceedings of the 21st international conference companion on World Wide Web
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In this paper we show how social networks, implicitly built from communication data, can serve as a basis for suspicious behavior detection from large communications data (landlines and mobile phone calls) provided by communication services providers for criminal investigators following two procedures: lawful interception and data retention. We propose the following contributions: (i) a data model and a set of operators for querying this data in order to extract suspicious behavior and (ii) a user friendly and easy-to-navigate visual representation for communication data with a prototype implementation.