Isomorph-free exhaustive generation
Journal of Algorithms
Spectral Partitioning of Random Graphs
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Visualisation and Analysis of Network Motifs
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
MAVisto: a tool for the exploration of network motifs
Bioinformatics
Coordinated perspectives and enhanced force-directed layout for the analysis of network motifs
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
FANMOD: a tool for fast network motif detection
Bioinformatics
Spatialization Design: Comparing Points and Landscapes
IEEE Transactions on Visualization and Computer Graphics
Egocentric Information Abstraction for Heterogeneous Social Networks
ASONAM '09 Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining
Structure of Neighborhoods in a Large Social Network
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
ManyNets: an interface for multiple network analysis and visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graphdice: a system for exploring multivariate social networks
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
iPCA: an interactive system for PCA-based visual analytics
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
An interactive visualization interface for studying egocentric, categorical, contact diary datasets
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
ChurnVis: visualizing mobile telecommunications churn on a social network with attributes
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
The last click: why users give up information network navigation
Proceedings of the 7th ACM international conference on Web search and data mining
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EgoNav is a visual analytics system that characterizes egos based on the relationship structure of their egocentric networks and presents the results as a spatialization. An ego, or individual node in a network, is most closely related to its neighbors, and to a lesser degree, to its neighbor's neighbors. For example, in social networks, people are closely related to their friends and family. In financial networks, the affairs of borrowers and lenders are more closely tied to each other. In fact, the relationship structure surrounding an ego, or an egocentric network, can provide characteristic information about the ego itself. Using network motif analysis and dimensionality reduction techniques, the system places egos in similar areas of a spatialization if their egocentric networks are structurally similar. This view of a network discriminates between the various classes of typical and exceptional egos. We demonstrate its effectiveness using appropriate synthetic datasets, real-world mobile phone call and peer-to-peer lending datasets. We subsequently elicit user feedback from experts involved in the investigation of financial fraud to assess the tool's applicability in this domain.